The demand for Learning and Development (L&D) Managers is growing, reflecting the increasing importance companies place on employee growth and skill enhancement. These professionals are vital in shaping organizational capabilities through strategic What Learning And Development Manager Jobs are in South Africa?
Showing 1453 Learning And Development Manager jobs in South Africa
Learning and Development Manager
Posted 3 days ago
Job Viewed
Job Description
About the Role Our client, a leading organisation in the Western Cape 's vibrant economic sector, is seeking an innovative and strategic Learning and Development (L&D) Manager to spearhead their talent development initiatives. This key role, based in the picturesque city of Mossel Bay , is responsible for designing, implementing, and evaluating comprehensive training and development programs that align with business objectives and foster employee growth. The L&D Manager will play a critical role in identifying skill gaps, developing leadership capabilities, and promoting a culture of continuous learning throughout the organization. The ideal candidate will have a passion for adult learning principles, exceptional program design skills, and a proven track record of driving impactful development outcomes. We are looking for a dynamic leader who can inspire and empower employees, ensuring they have the skills and knowledge needed to excel in their roles and contribute to the company's long-term success. This is an exciting opportunity to shape the future of talent development in a growing regional powerhouse. Key Responsibilities
- Develop and implement a comprehensive L&D strategy aligned with organizational goals and talent needs.
- Identify training needs through various assessment methods, including performance reviews, surveys, and consultations with department heads.
- Design, develop, and deliver engaging and effective training programs, workshops, and e-learning modules across various skill levels and disciplines.
- Manage the L&D budget effectively, ensuring optimal allocation of resources for training initiatives.
- Evaluate the effectiveness of training programs through various metrics, including participant feedback, knowledge retention, and impact on performance.
- Stay abreast of the latest trends and best practices in learning and development, instructional design, and adult learning theories.
- Manage relationships with external training providers and subject matter experts.
- Oversee the implementation of a Learning Management System (LMS) and ensure its effective utilization.
- Promote a culture of continuous learning and professional development within the organization.
- A Master's degree in Human Resources, Education, Organizational Psychology, or a related field.
- A minimum of 8 years of progressive experience in Learning and Development, with at least 3 years in a management or leadership role.
- Proven experience in designing and implementing comprehensive L&D strategies and programs.
- Strong knowledge of adult learning principles, instructional design methodologies, and training delivery techniques (including e-learning).
- Demonstrated experience in budget management and vendor negotiation.
- Excellent facilitation, communication, and presentation skills.
- Proficiency in L&D software and Learning Management Systems (LMS).
- Strong analytical and problem-solving skills, with the ability to measure training ROI.
- Leadership capabilities with a passion for developing people and fostering a learning culture.
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0
AWS Commercial Sales Internship
Posted 1 day ago
Job Viewed
Job Description
Description
The internship begins in August 2026 and has a duration of 12 months. Candidates must have completed a Bachelor's or Master's degree within the last 5 years
We're on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon Web Services (AWS), you will grow into the high impact, visionary person you know you're ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth in our AI-first cloud environment.
Would you like to be part of a team dedicated to driving digital transformation and the adoption of Amazon Web Services (AWS) across EMEA?
If you are passionate about cloud technologies, AWS is developing the next generation of cloud leaders through our Amazon Web Services (AWS) Commercial Sales Internship Program. The roadmap includes a detailed and structured experience, designed to provide in-depth learning and hands-on experience in Cloud sales and AWS services, as well as the opportunity to deliver long-term impact through the assignment of a business project utilizing innovative approaches and cutting-edge AI-first solutions.
AWS offers an cutting-edge and motivating environment where you will have the exciting opportunity to advance in your career, support the growth of AWS customers, and help shape the future of emerging cloud and AI technologies.
This paid internship will give you the chance to take on a unique internship project, enabling you to make a tangible impact and encourage you to build and innovate in the Amazonian way. The program features a rotation structure, exposing you to different aspects of our organization and various AWS service areas. Alongside this, you will be supported by members of our EMEA internship community, working in agile teams with access to mentoring, learning, and shadowing opportunities.
*Unemployed before joining the internship program.
*Under 35 years old at the time of application.
*Qualification must be from an accredited institution of higher education. Must have completed a higher education qualification in a related field (Minimum NQF level 4-6 qualification).
*In line with applicable legislation, preference will be given to eligible applicants from designated groups (that is Black people (used as a collective term for Africans, Coloureds, Indians and Chinese) women, and persons with disabilities who are citizens of South Africa). Appointments will be made on merit and in accordance with organisational requirements).
Key job responsibilities
What Makes You Future-Ready:
- Critical thinking and problem-solving abilities with a data-driven approach
- Digital innovation mindset with genuine curiosity about AI and emerging cloud technologies
- Showcasing resilience and adaptability in a dynamic and fast-paced environment
- Customer and stakeholder focus with strong communication skills
- Cross-functional collaboration capabilities to work across different teams and business units
The program includes comprehensive training on AWS services, cloud computing concepts, AI-first methodologies, and hands-on practical exercises to solidify your learning. You'll develop strategic thinking capabilities, GenAI proficiency, and stakeholder management skills essential for success in our rapidly evolving AI environment.
The successful candidate will be interested in a career in cloud technology, demonstrating learning agility, comfort with digital tools, and the ability to think strategically while remaining adaptable to new challenges and technologies that drive and grow AWS footprint with our customers
A day in the life
Overview of the internship:
- Learn about the AWS solution portfolio (including earning certifications like the AWS Certified Cloud Practitioner and AWS Certified AI Practitioner) and the Amazon culture, with strong focus on AI services and innovative cloud solutions
- Rotation assignments across different business units and teams, collaborating with various team members to innovate
- Work within agile methodologies to deliver impactful business projects
- Build an understanding of customer challenges, requirements, and the potential value that can be delivered by AWS
- Differentiate and understand various IT roles and responsibilities in modern AI-first organizations
If you're insatiably curious and eager to learn, then you've come to the right place. Depending on your location, country, job status and other requirements, the following benefits may be available to you as an intern:
- Competitive pay
- Impactful project and internship deliverables with rotation opportunities
- Agile team collaboration and innovative project work
- Networking opportunities with fellow interns across different EMEA locations
- Internship events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions, and AI technology workshops
- Mentorship and career development
About the team
Successful applicants will be invited to an online assessment. If successful and selected by the hiring team, you'll be invited for a first virtual interview. If you progress through this stage, you'll then be invited for a final round of interviews consisting of a combination of interviews and case studies, focusing on our Leadership Principles and your ability to work in Agile, innovative environments. Please note that this selection process is subject to change and may vary depending on the role and location.
We are committed to diversity, equity, and inclusion, and leveraging our unique perspectives to scale our impact and grow. Amazon has 13 affinity groups ( sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. With executive and company sponsorship, these groups play an important role in building internal networks for creating a community, advising Amazon business units, leading in service projects, and reaching out to communities where Amazonians live and work.
Basic Qualifications
- Speak, write, and read fluently in English
- Work 40 hours/week, and overtime as required
- Graduated from a Bachelor's or higher degree in the last 5 years
- Computer skills, including Microsoft Office (e.g., Excel, Word, etc.)
Preferred Qualifications
- Bcom/ Marketing/ IT qualification
- Sales experience no more than 2 year
- Interest in Sales: Previous professional, student organization, or academic experience that is sales related with interest in a sales career post-graduation
- Interest in learning AWS cloud and technical domains
- Good Communicator: You are comfortable talking with all different kinds of people, interests, and walks of life. You write clearly, listen well, and use the right tone for the audience.
- Self-Starter: You actively look for opportunities to improve and add value to your team and customers.
Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The internship begins in August 2026 and has a duration of 12 months. Candidates must have completed a Bachelor's or Master's degree within the last 5 years
We're on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon Web Services (AWS), you will grow into the high impact, visionary person you know you're ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth in our AI-first cloud environment.
Would you like to be part of a team dedicated to driving digital transformation and the adoption of Amazon Web Services (AWS) across EMEA?
If you are passionate about cloud technologies, AWS is developing the next generation of cloud leaders through our Amazon Web Services (AWS) Commercial Sales Internship Program. The roadmap includes a detailed and structured experience, designed to provide in-depth learning and hands-on experience in Cloud sales and AWS services, as well as the opportunity to deliver long-term impact through the assignment of a business project utilizing innovative approaches and cutting-edge AI-first solutions.
AWS offers an cutting-edge and motivating environment where you will have the exciting opportunity to advance in your career, support the growth of AWS customers, and help shape the future of emerging cloud and AI technologies.
This paid internship will give you the chance to take on a unique internship project, enabling you to make a tangible impact and encourage you to build and innovate in the Amazonian way. The program features a rotation structure, exposing you to different aspects of our organization and various AWS service areas. Alongside this, you will be supported by members of our EMEA internship community, working in agile teams with access to mentoring, learning, and shadowing opportunities.
*Unemployed before joining the internship program.
*Under 35 years old at the time of application.
*Qualification must be from an accredited institution of higher education. Must have completed a higher education qualification in a related field (Minimum NQF level 4-6 qualification).
*In line with applicable legislation, preference will be given to eligible applicants from designated groups (that is Black people (used as a collective term for Africans, Coloureds, Indians and Chinese) women, and persons with disabilities who are citizens of South Africa). Appointments will be made on merit and in accordance with organisational requirements).
Key job responsibilities
What Makes You Future-Ready:
- Critical thinking and problem-solving abilities with a data-driven approach
- Digital innovation mindset with genuine curiosity about AI and emerging cloud technologies
- Showcasing resilience and adaptability in a dynamic and fast-paced environment
- Customer and stakeholder focus with strong communication skills
- Cross-functional collaboration capabilities to work across different teams and business units
The program includes comprehensive training on AWS services, cloud computing concepts, AI-first methodologies, and hands-on practical exercises to solidify your learning. You'll develop strategic thinking capabilities, GenAI proficiency, and stakeholder management skills essential for success in our rapidly evolving AI environment.
The successful candidate will be interested in a career in cloud technology, demonstrating learning agility, comfort with digital tools, and the ability to think strategically while remaining adaptable to new challenges and technologies that drive and grow AWS footprint with our customers
A day in the life
Overview of the internship:
- Learn about the AWS solution portfolio (including earning certifications like the AWS Certified Cloud Practitioner and AWS Certified AI Practitioner) and the Amazon culture, with strong focus on AI services and innovative cloud solutions
- Rotation assignments across different business units and teams, collaborating with various team members to innovate
- Work within agile methodologies to deliver impactful business projects
- Build an understanding of customer challenges, requirements, and the potential value that can be delivered by AWS
- Differentiate and understand various IT roles and responsibilities in modern AI-first organizations
If you're insatiably curious and eager to learn, then you've come to the right place. Depending on your location, country, job status and other requirements, the following benefits may be available to you as an intern:
- Competitive pay
- Impactful project and internship deliverables with rotation opportunities
- Agile team collaboration and innovative project work
- Networking opportunities with fellow interns across different EMEA locations
- Internship events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions, and AI technology workshops
- Mentorship and career development
About the team
Successful applicants will be invited to an online assessment. If successful and selected by the hiring team, you'll be invited for a first virtual interview. If you progress through this stage, you'll then be invited for a final round of interviews consisting of a combination of interviews and case studies, focusing on our Leadership Principles and your ability to work in Agile, innovative environments. Please note that this selection process is subject to change and may vary depending on the role and location.
We are committed to diversity, equity, and inclusion, and leveraging our unique perspectives to scale our impact and grow. Amazon has 13 affinity groups ( sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. With executive and company sponsorship, these groups play an important role in building internal networks for creating a community, advising Amazon business units, leading in service projects, and reaching out to communities where Amazonians live and work.
Basic Qualifications
- Speak, write, and read fluently in English
- Work 40 hours/week, and overtime as required
- Graduated from a Bachelor's or higher degree in the last 5 years
- Computer skills, including Microsoft Office (e.g., Excel, Word, etc.)
Preferred Qualifications
- Bcom/ Marketing/ IT qualification
- Sales experience no more than 2 year
- Interest in Sales: Previous professional, student organization, or academic experience that is sales related with interest in a sales career post-graduation
- Interest in learning AWS cloud and technical domains
- Good Communicator: You are comfortable talking with all different kinds of people, interests, and walks of life. You write clearly, listen well, and use the right tone for the audience.
- Self-Starter: You actively look for opportunities to improve and add value to your team and customers.
Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
1
Learning & Development Specialist
Posted 9 days ago
Job Viewed
Job Description
Key Responsibilities
Learning Design & Development (L&D Jobs South Africa)
East London, Eastern Cape, South Africa
Why Apply
Learning Design & Development (L&D Jobs South Africa)
- Conduct training needs analysis aligned to business and project requirements
- Collaborate with SMEs to design and develop classroom, virtual, and e-learning content
- Create learning materials, guides, and digital resources using tools such as Articulate, Scribe, Canva, and Bob Learn
- Develop engaging learning experiences that support operational capability and adoption
- Support SMEs during initial training sessions and workshops
- Facilitate refresher training and ongoing capability-building sessions
- Deliver blended learning interventions in fast-paced project environments
- Ensure learner engagement and effective knowledge transfer
- Support communication and engagement initiatives linked to system and process rollouts
- Reinforce change adoption messaging and user readiness activities
- Apply foundational change management principles to support successful implementation
- Assist teams through operational and behavioural change initiatives
- Manage the Learning Management System (LMS) including course uploads and learner tracking
- Maintain accurate reporting, learner progress records, and compliance data
- Ensure effective system administration and user support
- Gather learner feedback and improve training content continuously
- Support evolution toward digital learning and modern L&D practices
- Stay updated on learning technologies, instructional design trends, and change methodologies
- National Diploma (NQF Level 6) in Human Resources, Education, Training & Development, or related field
- Bachelors Degree in HR, Industrial Psychology, Education, or related field (preferred)
- ETDP SETA Accredited Facilitator certification
- Prosci Change Management certification advantageous
- Minimum 4 years experience in Learning & Development or training environments
- Experience with instructional design, facilitation, and LMS administration
- Exposure to project-driven or transformation environments advantageous
- Instructional design and blended learning methodologies
- LMS administration and reporting
- Digital learning tools including Articulate, Canva, Scribe, and Bob Learn
- Training facilitation and learner engagement techniques
- Basic change management and adoption support
- Training needs analysis and process documentation
- Strong communication and stakeholder engagement ability
- Excellent facilitation and presentation skills
- High attention to detail and organisational ability
- Ability to adapt quickly within project-driven environments
- Strong collaboration and problem-solving capability
- Ability to manage multiple priorities and deadlines simultaneously
East London, Eastern Cape, South Africa
Why Apply
- Work within a dynamic, project-driven environment
- Exposure to digital learning, LMS platforms, and change initiatives
- Opportunity to grow into advanced instructional design and change management
- Collaborate with cross-functional teams and business leaders
- Contribute to enterprise-wide learning and transformation initiatives
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2
Junior AI Developer
Posted 8 days ago
Job Viewed
Job Description
Minimum requirements:
Consultant: Heidi Diedericks - Dante Personnel Pretoria Silver Lakes
- BSc in IT or related field
- 2 Years Experience in Artificial Intelligence development experience
- 2 Years of Python coding experience
- Strong skills in Flask, JavaScript, HTML5, CSS, Bootstrap and TypeScript
- Good experience with XML configurations and XSL transformations
- Good knowledge of SQL Server, PostgreSQL and MongoDB
- Proficiency in jQuery, JSON and SOAP
- Experience with MongoDB, Express.js, AngularJS and Node.js (MEAN stack) is a plus
Consultant: Heidi Diedericks - Dante Personnel Pretoria Silver Lakes
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This advertiser has chosen not to accept applicants from your region.
3
Learning and Development Manager
Posted 21 days ago
Job Viewed
Job Description
Learning & Development Manager | Luxury Private Game Reserve
Remote / Split Role (50% Reserve | 50% Head Office – Johannesburg preferred)Salary: Negotiable (DOE)Kendrick Recruitment is currently seeking a passionate and strategic Learning & Development Manager for a leading luxury private game reserve. This is a unique opportunity for a people-focused professional who is driven by development, excellence, and purpose-led hospitality within a conservation-based environment.
The successful candidate will play a key role in shaping and driving the learning culture across the organisation, ensuring continuous development, service excellence, and leadership growth across all departments.
Key Responsibilities:
Learning & Development Strategy
Develop and implement the annual L&D strategy aligned with operational goalsConduct skills gap analyses and identify training needs across departmentsDesign structured learning programmes for hospitality, leadership, compliance, and guest service excellencePromote a strong culture of continuous learning and professional developmentTraining Delivery & Facilitation
Facilitate inductions, workshops, training sessions, and development programmesCoordinate external facilitators and accredited training providersOversee onboarding and orientation programmes for new employeesDevelop training materials, SOP guides, manuals, and learning resourcesCompliance & Skills Development
Ensure compliance with labour legislation and skills development requirementsManage Workplace Skills Plans (WSPs) and Annual Training Reports (ATRs)Maintain accurate training records and reporting systemsMonitor training budgets and ensure cost-effective delivery of programmesRequirements:
Degree in Human Resources, Learning & Development, Organisational Development, or related fieldProven experience in L&D or Training within luxury hospitality or service-driven environmentsFacilitation experience essential; assessor/moderator qualifications advantageousKnowledge of SETA processes and South African skills development legislation advantageousStrong understanding of hospitality operations and service standardsComputer literate (Microsoft Office and learning systems)Personal Attributes:
Excellent facilitation and presentation skillsStrong interpersonal and communication abilitiesAbility to coach and influence at all levelsHighly organised with strong administrative capabilityEmotionally intelligent and culturally sensitivePassionate about people development and conservation-led hospitalityKey Performance Indicators:
Completion and implementation of annual training plansImprovement in service standards and guest feedbackCompliance with statutory training requirementsSuccessful onboarding completion ratesTraining participation and assessment outcomesDepartmental satisfaction with training supportThis is a meaningful opportunity to shape the growth and development of a passionate hospitality team within a world-class conservation environment.
If you do not hear from us within 7 working days, please consider your application unsuccessful.
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This advertiser has chosen not to accept applicants from your region.
4
Senior AI Engineer
Posted 9 days ago
Job Viewed
Job Description
**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
NTT DATA is seeking an experienced Senior AI/Machine Learning Engineer with a strong Generative AI focus to join our AI practice in Johannesburg. This role will play a key part in designing, building, and deploying applied AI and GenAI solutions for enterprise clients across the Middle East & Africa region.
The successful candidate will work across the full AI solution lifecycle-from data exploration and model development to deploying production-ready GenAI and machine learning solutions. The role requires a hands-on engineer who is comfortable working with modern AI technologies, particularly large language models (LLMs), while collaborating closely with business, engineering, and client stakeholders.
**Key Responsibilities**
**Generative AI & Machine Learning Development**
+ Design and develop Generative AI solutions, including LLM-based applications
+ Implement techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning
+ Develop and evaluate machine learning models across supervised, unsupervised, and NLP use cases
+ Optimise model performance, reliability, and cost efficiency for enterprise environments
**Data & Engineering Collaboration**
+ Work with structured and unstructured data sources (databases, APIs, documents, transcripts, logs)
+ Collaborate with data engineers to support data ingestion, preparation, and transformation pipelines
+ Ensure AI solutions are scalable, maintainable, and aligned with software engineering best practices
**Deployment & Production**
+ Package and deploy AI and GenAI solutions into production (APIs, services, batch workflows)
+ Support cloud-based deployments, primarily on Microsoft Azure, including Azure OpenAI and Azure AI services
+ Apply MLOps and LLMOps practices such as versioning, monitoring, evaluation, and continuous improvement
**Client & Stakeholder Engagement**
+ Translate business problems into effective AI and GenAI use cases
+ Contribute to proofs of concept (POCs), pilots, and enterprise-scale implementations
+ Support solution architects and senior AI leaders in client engagements and technical delivery
**Qualification Requirements**
+ Postgraduate level qualification (Honours or Masters) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Economics or a related field
+ Alternatively, equivalent practical experience delivering AI or machine learning solutions in enterprise environments
**Required Skills**
**Core Technical Skills**
+ Strong proficiency in Python for AI and machine learning development
+ Solid understanding of machine learning fundamentals and evaluation techniques
+ Hands-on experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow
+ Experience working with Generative AI and LLMs in practical use cases
+ Strong data handling skills, including SQL and data querying
+ Experience deploying models or AI services into production environments
+ Experience with vector databases and embeddings (e.g., for RAG architectures)
**Cloud & Platforms**
+ Experience with cloud platforms (Azure preferred; AWS or GCP acceptable)
+ Familiarity with Azure OpenAI, Azure AI services, or similar GenAI platforms
+ Experience building or consuming REST APIs and using containerisation tools such as Docker
+ Exposure to MLOps / LLMOps tools and practices (e.g., MLflow, monitoring, CI/CD)
**Experience & Profile**
+ 5-10 years of experience in AI, machine learning, or applied data science roles
+ Demonstrated experience delivering real-world AI or GenAI solutions beyond experimentation
+ Comfortable working in a hybrid, client-facing consulting environment
+ Strong communication skills and a pragmatic, delivery-oriented mindset
**Workplace type** **:**
**About NTT DATA**
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
NTT DATA is seeking an experienced Senior AI/Machine Learning Engineer with a strong Generative AI focus to join our AI practice in Johannesburg. This role will play a key part in designing, building, and deploying applied AI and GenAI solutions for enterprise clients across the Middle East & Africa region.
The successful candidate will work across the full AI solution lifecycle-from data exploration and model development to deploying production-ready GenAI and machine learning solutions. The role requires a hands-on engineer who is comfortable working with modern AI technologies, particularly large language models (LLMs), while collaborating closely with business, engineering, and client stakeholders.
**Key Responsibilities**
**Generative AI & Machine Learning Development**
+ Design and develop Generative AI solutions, including LLM-based applications
+ Implement techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning
+ Develop and evaluate machine learning models across supervised, unsupervised, and NLP use cases
+ Optimise model performance, reliability, and cost efficiency for enterprise environments
**Data & Engineering Collaboration**
+ Work with structured and unstructured data sources (databases, APIs, documents, transcripts, logs)
+ Collaborate with data engineers to support data ingestion, preparation, and transformation pipelines
+ Ensure AI solutions are scalable, maintainable, and aligned with software engineering best practices
**Deployment & Production**
+ Package and deploy AI and GenAI solutions into production (APIs, services, batch workflows)
+ Support cloud-based deployments, primarily on Microsoft Azure, including Azure OpenAI and Azure AI services
+ Apply MLOps and LLMOps practices such as versioning, monitoring, evaluation, and continuous improvement
**Client & Stakeholder Engagement**
+ Translate business problems into effective AI and GenAI use cases
+ Contribute to proofs of concept (POCs), pilots, and enterprise-scale implementations
+ Support solution architects and senior AI leaders in client engagements and technical delivery
**Qualification Requirements**
+ Postgraduate level qualification (Honours or Masters) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Economics or a related field
+ Alternatively, equivalent practical experience delivering AI or machine learning solutions in enterprise environments
**Required Skills**
**Core Technical Skills**
+ Strong proficiency in Python for AI and machine learning development
+ Solid understanding of machine learning fundamentals and evaluation techniques
+ Hands-on experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow
+ Experience working with Generative AI and LLMs in practical use cases
+ Strong data handling skills, including SQL and data querying
+ Experience deploying models or AI services into production environments
+ Experience with vector databases and embeddings (e.g., for RAG architectures)
**Cloud & Platforms**
+ Experience with cloud platforms (Azure preferred; AWS or GCP acceptable)
+ Familiarity with Azure OpenAI, Azure AI services, or similar GenAI platforms
+ Experience building or consuming REST APIs and using containerisation tools such as Docker
+ Exposure to MLOps / LLMOps tools and practices (e.g., MLflow, monitoring, CI/CD)
**Experience & Profile**
+ 5-10 years of experience in AI, machine learning, or applied data science roles
+ Demonstrated experience delivering real-world AI or GenAI solutions beyond experimentation
+ Comfortable working in a hybrid, client-facing consulting environment
+ Strong communication skills and a pragmatic, delivery-oriented mindset
**Workplace type** **:**
**About NTT DATA**
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
5
AI Technology and Innovation Engineer
Posted 9 days ago
Job Viewed
Job Description
**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The AI Solutions Engineer is an advanced subject matter expert, responsible for actively participating in identifying high-value use cases, assessing solution feasibility, prototyping innovative ideas, and delivering successful pilot projects.
This role demands specialist technical knowledge, proficiency in software engineering, and capability in data engineering and cloud infrastructure.
The AI Solutions Engineer is expected to ensure secure, reliable, and scalable integrations with existing enterprise platforms, systems, and data sources.
**Key Responsibilities:**
+ Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents.
+ Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability.
+ Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions.
+ Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks.
+ Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration.
+ Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models.
+ Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities.
+ Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency.
+ Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle.
+ Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices.
+ Identify and mitigate risks associated with AI deployments, proactively addressing ethical considerations, biases, and unintended consequences.
+ Collaborate closely with business and functional teams to streamline processes through intelligent automation and deliver measurable business outcomes.
+ Provide clear documentation of technical designs, project plans, and operational procedures.
+ Contribute to the continuous improvement of AI best practices, methodologies, and internal frameworks.
+ Stay abreast of the latest AI and machine learning developments, continuously evaluating emerging technologies and methodologies.
**To thrive in this role, you need to have:**
+ Advanced understanding of artificial intelligence, natural language processing (NLP), and machine learning principles.
+ Advanced expertise in selecting, fine-tuning, and deploying large and small language models (LLMs/SLMs), such as OpenAI's GPT series and open-source alternatives.
+ Advanced proven experience with prompt engineering, prompt optimization, and AI model reliability and accuracy improvements.
+ Advanced proficiency in Python programming, essential for rapid prototyping, integration, and model implementation. Python is the preferred language for AI; strong proficiency in Python is essential due to the extensive use of frameworks, libraries, and models.
+ Advanced knowledge of additional programming languages (optional, but valuable):
+ JavaScript / TypeScript: Helpful if building frontend interfaces or web integrations.
+ Java / C#: Beneficial for integrations with enterprise backend systems (e.g., ERP, CRM).
+ Advanced familiarity with full-stack software development, including frontend and backend integration, user experience considerations, and system interoperability.
+ Robust knowledge of data pipeline development, data engineering concepts, and handling of structured and unstructured data.
+ Advanced proficiency in cloud computing platforms (Azure, AWS, GCP), particularly in deploying, scaling, and managing AI workloads.
+ Advanced knowledge of security, compliance, and risk management practices related to AI solutions.
+ Advanced understanding of ethical AI considerations, bias mitigation, and responsible AI deployment.
+ Demonstrated domain and business acumen, capable of aligning technical solutions with business strategies and processes for measurable impact.
+ Excellent communication skills, ability to clearly articulate technical concepts to non-technical stakeholders.
+ Advanced analytical problem-solving capabilities, organizational skills, and attention to detail.
+ Ability to manage multiple projects simultaneously, prioritize tasks effectively, and meet deadlines in a fast-paced environment.
+ Passionate about continuous learning, innovation, and keeping abreast of industry trends.
**Academic Qualifications and Certifications:**
+ Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
+ Microsoft Certified: Azure AI Engineer Associate (preferred)
+ Microsoft Certified: Azure Solutions Architect Expert (preferred)
+ Microsoft Certified: Data Scientist Associate (preferred)
+ Microsoft Certified: Azure Data Engineer Associate (preferred)
+ Microsoft Certified: Power Platform Fundamentals (preferred)
+ Relevant certifications or training in Machine Learning, AI development, Data Analytics, and Cloud Computing (advantageous)
**Required Experience:**
+ Advanced demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments.
+ Advanced expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks.
+ Advanced demonstrated experience implementing prompt engineering methodologies and optimizing model performance.
+ Advanced demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms.
+ Advanced experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases.
+ Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP).
+ Advanced demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently.
+ Advanced proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments.
+ Advanced experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions.
+ AI experience - ChatGPT, Microsoft Copilot, Gemini, and/or Claude
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The AI Solutions Engineer is an advanced subject matter expert, responsible for actively participating in identifying high-value use cases, assessing solution feasibility, prototyping innovative ideas, and delivering successful pilot projects.
This role demands specialist technical knowledge, proficiency in software engineering, and capability in data engineering and cloud infrastructure.
The AI Solutions Engineer is expected to ensure secure, reliable, and scalable integrations with existing enterprise platforms, systems, and data sources.
**Key Responsibilities:**
+ Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents.
+ Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability.
+ Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions.
+ Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks.
+ Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration.
+ Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models.
+ Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities.
+ Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency.
+ Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle.
+ Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices.
+ Identify and mitigate risks associated with AI deployments, proactively addressing ethical considerations, biases, and unintended consequences.
+ Collaborate closely with business and functional teams to streamline processes through intelligent automation and deliver measurable business outcomes.
+ Provide clear documentation of technical designs, project plans, and operational procedures.
+ Contribute to the continuous improvement of AI best practices, methodologies, and internal frameworks.
+ Stay abreast of the latest AI and machine learning developments, continuously evaluating emerging technologies and methodologies.
**To thrive in this role, you need to have:**
+ Advanced understanding of artificial intelligence, natural language processing (NLP), and machine learning principles.
+ Advanced expertise in selecting, fine-tuning, and deploying large and small language models (LLMs/SLMs), such as OpenAI's GPT series and open-source alternatives.
+ Advanced proven experience with prompt engineering, prompt optimization, and AI model reliability and accuracy improvements.
+ Advanced proficiency in Python programming, essential for rapid prototyping, integration, and model implementation. Python is the preferred language for AI; strong proficiency in Python is essential due to the extensive use of frameworks, libraries, and models.
+ Advanced knowledge of additional programming languages (optional, but valuable):
+ JavaScript / TypeScript: Helpful if building frontend interfaces or web integrations.
+ Java / C#: Beneficial for integrations with enterprise backend systems (e.g., ERP, CRM).
+ Advanced familiarity with full-stack software development, including frontend and backend integration, user experience considerations, and system interoperability.
+ Robust knowledge of data pipeline development, data engineering concepts, and handling of structured and unstructured data.
+ Advanced proficiency in cloud computing platforms (Azure, AWS, GCP), particularly in deploying, scaling, and managing AI workloads.
+ Advanced knowledge of security, compliance, and risk management practices related to AI solutions.
+ Advanced understanding of ethical AI considerations, bias mitigation, and responsible AI deployment.
+ Demonstrated domain and business acumen, capable of aligning technical solutions with business strategies and processes for measurable impact.
+ Excellent communication skills, ability to clearly articulate technical concepts to non-technical stakeholders.
+ Advanced analytical problem-solving capabilities, organizational skills, and attention to detail.
+ Ability to manage multiple projects simultaneously, prioritize tasks effectively, and meet deadlines in a fast-paced environment.
+ Passionate about continuous learning, innovation, and keeping abreast of industry trends.
**Academic Qualifications and Certifications:**
+ Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
+ Microsoft Certified: Azure AI Engineer Associate (preferred)
+ Microsoft Certified: Azure Solutions Architect Expert (preferred)
+ Microsoft Certified: Data Scientist Associate (preferred)
+ Microsoft Certified: Azure Data Engineer Associate (preferred)
+ Microsoft Certified: Power Platform Fundamentals (preferred)
+ Relevant certifications or training in Machine Learning, AI development, Data Analytics, and Cloud Computing (advantageous)
**Required Experience:**
+ Advanced demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments.
+ Advanced expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks.
+ Advanced demonstrated experience implementing prompt engineering methodologies and optimizing model performance.
+ Advanced demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms.
+ Advanced experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases.
+ Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP).
+ Advanced demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently.
+ Advanced proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments.
+ Advanced experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions.
+ AI experience - ChatGPT, Microsoft Copilot, Gemini, and/or Claude
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
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6
Junior-Mid AI Backend Engineer (Python) (CPT)
Posted 9 days ago
Job Viewed
Job Description
ENVIRONMENT:
A provider of cutting-edge Tech Applications seeks the coding talents of a Junior-Mid AI Backend Engineer to join its team where you will design, build and maintain Backend services and APIs that support ML model inference, training pipelines, and Agentic AI systems. The ideal candidate must have 1-3 years professional experience in Backend or Software Engineering with strong Python and at least one Backend framework – Flask, FastAPI, Django or similar. You will also need a solid understanding of RESTful API, SQL, PostgreSQL, MySQL, NoSQL, MongoDB, Redis, Elasticsearch, Docker, Kubernetes & Git.
DUTIES:
- Design, build, and maintain Backend services and APIs that support ML model inference, training pipelines, and Agentic AI systems.
- Develop and optimise data pipelines for ingestion, transformation, and storage of structured and unstructured data used by ML workflows.
- Build and integrate model serving infrastructure (e.g., NVIDIA Triton, TorchServe, or similar) into production systems.
- Contribute to the development of orchestration layers for agentic systems, including tool-use frameworks, retrieval-augmented generation (RAG) pipelines, and multi-step AI workflows.
- Work with ML Engineers and Data Scientists to productionise models — bridging the gap between research prototypes and production-grade systems.
- Implement monitoring, logging, and alerting ML Backend services to ensure reliability and observability.
- Contribute to MLOps practices including CI/CD for model deployment, model registry integration, and experiment tracking infrastructure.
- Write clean, well-tested, and documented code following Engineering best practices.
REQUIREMENTS:
- 1–3 Years of professional experience in Backend or Software Engineering.
- Strong proficiency in Python; experience with at least one Backend framework (Flask, FastAPI, Django, or similar).
- Solid understanding of RESTful API design and development.
- Strong SQL skills — comfortable writing complex queries, working with joins, subqueries, Window functions, CTEs, and aggregations across large datasets.
- Hands-on experience with relational databases (PostgreSQL, MySQL, or similar) including schema design, indexing strategies, query optimisation, and understanding of execution plans.
- Familiarity with NoSQL or caching databases (MongoDB, Redis, Elasticsearch, etc.) and an understanding of when to use them over relational stores.
- Familiarity with containerisation and orchestration (Docker, Kubernetes basics).
- Foundational understanding of ML concepts — you should be comfortable discussing what a model does, how inference works, and what training data looks like, even if you're not building models yourself.
- Experience with version control (Git) and collaborative development workflows.
- Good problem-solving skills and the ability to work independently in a remote environment.
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7
Student Residence Manager
Posted 9 days ago
Job Viewed
Job Description
ROLE SUMMARY
We are seeking a proactive, resilient, and student-focused Property Manager to
oversee the day-to-day operations of a student residence building. The primary
objective is to maintain a safe, conducive, and vibrant living environment that
supports academic success. This role blends traditional property management with
hospitality, tenant relations, and strict adherence to South African rental and safety
regulations.
Key Responsibilities
Operational & Facilities Management
- Manage all maintenance requests via a ticketing system (e.g., MRI, Yardi, or
similar), ensuring emergency repairs (plumbing, electrical, security) are resolved
within 24 hours. - Conduct weekly and monthly property inspections (common areas, kitchens,
bathrooms, and vacant units). - Oversee outsourced service providers: cleaning staff, waste removal,
landscaping, and pest control. - Ensure critical equipment (geysers, prepaid meters, backup water tanks,
generators/inverters) is serviced and functional.
Student Leasing & Administration
- Drive the annual bed rental cycle: showings, applications, lease signings
(including Rental Housing Act compliant leases). - Manage online student application portals and liaise with university
accommodation offices. - Enforce lease terms: late payment penalties, visitor policies, noise regulations, and
damage recovery. - Prepare and serve required notices: breach of contract, lease non-renewal, and
eviction notices (in coordination with legal counsel).
Financial Management
- Achieve monthly rental collection targets (minimising arrears, typical in student
market). - Manage utility recoveries (water, electricity, refuse) – ensuring sub-metering or
ratio billing is compliant with the Property Practitioners Act. - Control operational expenditure (OPEX) against budget; approve small works up
to a set limit. - Prepare monthly income/expense reports and variance analysis.
Student Life & Conflict Resolution
- Act as primary on-site contact for student residents, parents, and university liaison
officers. - Implement and enforce the House Rules (quiet hours, guest policies, curfews
where applicable). - Mediate roommate disputes, noise complaints, and cleanliness issues.
- Coordinate orientation events, safety workshops, and end-of-year vacating
procedures.
Health, Safety & Compliance (Critical for Student Housing)
- Ensure full compliance with the South African National Standard (SANS 10400) for
building safety. - Maintain fire equipment (extinguishers, hose reels, smoke detectors) with monthly
checks and annual certification. - Implement and drill the Emergency Action Plan (fire, flood, intruder).
- Manage COA (Certificate of Acceptability) for any communal kitchens; ensure
compliance with municipal by-laws. - Maintain POPIA (Protection of Personal Information Act) compliance regarding
student data.
Required Qualifications & Experience
- Education: Diploma or Degree in Property Management, Real Estate, Business
Administration, or Hospitality Management. - Experience: Minimum 3–5 years in property management, with at least 1 year
specifically in student accommodation, multi-unit residential, or a busy hostel
environment. - Legal Knowledge: Working knowledge of the Rental Housing Act, Sectional Titles
Act (if applicable), Consumer Protection Act (impact on lease terms), and local
municipal bylaws. - Systems Proficiency: Experience with property management software (PMS),
CRM tools, and basic Excel (pivot tables, VLOOKUP's). - Must have own reliable transport and a valid Code 8 driver’s license.
Key Competencies & Attributes
- Crisis management: Remains calm and decisive during after-hours emergencies
(burst geyser, power failure, student altercation). - Student-centric mindset: Understands the unique needs of young adults (often
first-time renters) while balancing business discipline. - Assertive & fair: Ability to enforce rules and collect arrears without escalating
conflict unnecessarily. - Excellent communicator: Clear in English (written/spoken); additional South
African languages (isiZulu, Afrikaans, Sesotho) are a strong advantage. - Technologically agile: Able to manage app-based maintenance, digital leases,
and online payment portals.
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8
Student Residence Manager
Posted 9 days ago
Job Viewed
Job Description
Role Overview
The Student Residence Manager is responsible for the day-to-day operational management of a student accommodation facility. The role ensures a safe, well-maintained, and supportive living environment while managing occupancy, facilities, staff, stakeholders, and student well-being.
Key Responsibilities
Operational Management
- Oversee the daily operations of the student residence
- Develop, implement, and enforce residence rules, procedures, and policies
- Manage front-of-house operations and resident services
- Ensure the smooth running of accommodation facilities
Occupancy & Administration
- Manage occupancy reports, room allocations, transfers, and returning students
- Oversee room selection and allocation processes
- Maintain accurate records and administrative systems
- Compile daily, weekly, and monthly operational reports
Facilities & Asset Management
- Maintain asset registers for furniture, appliances, and equipment
- Conduct monthly stock takes and inspections
- Coordinate maintenance requests and monitor turnaround times
- Liaise daily with facilities management and external contractors
Health, Safety & Compliance
- Develop and implement health and safety plans
- Conduct regular room, apartment, and building inspections
- Ensure compliance with OHS and safety regulations
- Develop and implement emergency response plans
People & Stakeholder Management
- Supervise student staff and manage work schedules
- Maintain effective communication with students, parents, and stakeholders
- Handle resident enquiries, concerns, and escalations professionally
- Promote a positive student culture, wellness, and development
Service Providers & Support Functions
- Manage third-party service providers such as security, cleaning, pest control, hygiene, and access control
- Monitor parking facilities and access systems
- Liaise with IT providers regarding Wi-Fi and access systems
- Support marketing initiatives with the marketing function
Requirements
- Minimum 2 years’ experience as a Student Residence Manager (essential)
- Proven experience in student accommodation or residential living environments
- Strong leadership and interpersonal skills
- Excellent organizational, administrative, and reporting ability
- Experience managing diverse stakeholders and student populations
- Knowledge of health and safety and emergency response procedures
- Valid driver’s license (preferred)
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9