140 AI & Emerging Technologies jobs in South Africa
Machine Learning Engineer
Posted 4 days ago
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Date: 21 Aug 2025
Location: Stellenbosch, ZA
Company: Capitec
AI Solutions Architect
Posted 4 days ago
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Job Description
At Open Box Software, we’ve been helping the world’s leading property companies work smarter since 2001. We design and deliver practical, cost-effective technology solutions - powered by AI, Microsoft Dynamics 365, the Power Platform, advanced analytics, and custom development - all underpinned by our guiding belief:"There’s always a better way."
We are now looking for a business-minded, AI-driven Solutions Architect who can turn real estate challenges into measurable business value - blending strategic consulting, technical architecture, and hands-on delivery leadership.
Why This Role Matters
This is not a pure technical build role. You will bridge the gap between vision and execution, helping clients identify high-value AI opportunities, architecting fit-for-purpose solutions, and ensuring adoption that delivers value. You’ll work with stakeholders at every level - from C-suite executives to delivery teams - becoming a trusted advisor in both AI and the real estate domain.
What You’ll Do
AI Strategy & Advisory
Lead client workshops to uncover where AI can make the biggest impact - examples include portfolio forecasting, lease abstraction, predictive maintenance, and tenant sentiment analysis.
Translate business goals into a clear AI roadmap with tangible success metrics.
Guide clients on ethical, secure, and scalable AI adoption.
2. Solution Architecture & Design
Architect AI prototypes using enterprise-grade tools.
Ensure solutions integrate seamlessly into existing systems and data landscapes.
Champion best practices in governance, security, and sustainable architecture.
3. Delivery Leadership
Partner with developers, data architects, data scientists, consultants and analysts to bring concepts to life.
Provide hands-on oversight during proof-of-concepts and pilots.
Monitor performance and ensure successful client adoption.
4. Domain & Technical Expertise
Build deep knowledge of real estate processes from property management and leasing to finance operations.
Stay ahead of emerging PropTech and AI innovations.
Rapid R&D to prove out concepts and try new technology.
5. Relationship & Thought Leadership
Build credibility as a strategic AI advisor in the real estate space.
Mentor junior consultants and contribute to internal capability growth.
Support proposals, client pitches, and demonstrations for AI-led transformation projects.
What You Bring
8+ years in technology consulting, solution architecture, or similar roles, with 6 months in AI-related work.
Proven ability to engage at both strategic and delivery levels.
Skilled in facilitation, presentation, and stakeholder influence.
Experience with the Microsoft technology stack a plus.
PropTech or real estate exposure advantageous but not essential - rapid learners welcome.
Experience with leveraging AI tooling to assist in architecture and development.
Who You Are
Business-centric technologist – passionate about AI for its business value, not just its novelty.
Curious problem-solver – digs deep to understand challenges and deliver better ways forward.
Collaborative leader – inspires teams and clients with credibility, empathy, and clarity.
Why You’ll Love It Here
Lead high-impact AI transformation projects in a sector ready for innovation.
Collaborate with former CIOs, CTOs, and global property leaders.
Thrive in a culture of excellence, integrity, and continuous learning.
Enjoy balance with hybrid work and a supportive Cape Town-based HQ.
Grow your career into strategic advisory, architecture leadership, or practice lead roles.
If you want to shape the future of real estate with AI and work in an environment where innovation meets integrity, we’d love to meet you.
#J-18808-LjbffrAI / Machine Learning Engineer
Posted 4 days ago
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IT Branch Manager (C# | Java | Python | Angular | React | Mobile) at Network Recruitment |Are you a tech visionary ready to shape the future of AI in financial services?
A leading, innovation-driven consulting firm with specialisation with financial institutions (yes, the one known for its awesome culture ) is on the hunt for a seasoned AI Specialist with 4+ years of experience . The company is based in Johannesburg.
What you'll be doing:
You’ll play a key role in building and deploying cutting-edge AI and machine learning solutions that have a direct impact on real-world business outcomes. Think smarter systems, faster decision-making, and tech that actually makes a difference.
What we're looking for:
Strong expertise in Python or Java
Hands-on experience with AI and ML models
Proven ability to take AI solutions from concept to production
A curious mind with a passion for turning data into action
Strong working experience with AWS
What's in it for you?
- Competitive salary with bi-annual performance bonuses
- Hybrid work option (3 days in office)
- Flexible work options and a supportive team culture
- Great coffee, need I say more
Apply now or send me an email to
#AIJobs #MachineLearning #TechJobs #JohannesburgJobs #PythonJobs #JavaJobs #ArtificialIntelligence #NowHiring
Seniority level- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology, Consulting, and Finance
- Industries Financial Services, Banking, and IT Services and IT Consulting
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#J-18808-LjbffrProfessor - Application of Artificial Intelligence in Healthcare
Posted 4 days ago
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Professor - Application of Artificial Intelligence in HealthcareDate Posted: 08/21/2025
Closing Date: 09/29/2025, 11:59PM ET
Req ID: 44137
Job Category: Faculty - Tenure Stream (continuing)
Faculty/Division: Temerty Faculty of Medicine
Department: Department of Laboratory Medicine and Pathobiology
Campus: St. George (Downtown Toronto)
Description:
The Department of Laboratory Medicine and Pathobiology in the Temerty Faculty of Medicine and the Leslie Dan Faculty of Pharmacy at the University of Toronto invites applications for a full-time tenure stream position in the Application of Artificial Intelligence in Healthcare. This will be a joint appointment between the Department of Laboratory Medicine and Pathobiology and the Leslie Dan Faculty of Pharmacy. The appointment will be at the rank of Professor, with an anticipated start date of January 1, 2026.
We are seeking a leader in the area of Artificial Intelligence (AI) that addresses questions related to healthcare, and pharmaceutical sciences and/or development of therapeutics. We seek a candidate who has developed an outstanding, innovative research program to address questions pertinent to health, disease, pharmacy, clinical practice, and/or pharmaceutical sciences. The successful candidate will complement the faculties’ existing research strengths in AI and basic, applied and translational research and clinical practice as applied to human disease.
Applicants should have a relevant doctoral degree (e.g. PhD, MD, or PharmD) with a clearly demonstrated record of excellence in research and teaching and a well-established research program of substantial duration. Candidates will have an established international reputation and is expected to mount an original, excellent, competitive and independently funded program, to actively participate in the undergraduate and graduate curriculum, and be able to provide leadership to AI related programs, such as the Temerty Centre for AI Research and Education in Medicine (T-CAIREM), in the two faculties.
Candidates must provide evidence of research excellence which can be demonstrated by a record of sustained high-impact contributions and publications in top-ranked and field relevant journals, the submitted research statement, presentations at conferences, awards and accolades, and other noteworthy activities that contribute to the visibility and prominence of the discipline, as well as strong endorsements from referees.
Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier submitted as part of the application (with required materials outlined below), as well as strong letters of reference.
The candidate will have demonstrated leadership excellence which will be evidenced by creation of mature AI programs or centres which have well developed plans for sustainability.
Salary will be commensurate with qualifications and experience.
The successful candidate will be jointly appointed in both Leslie Dan Faculty of Pharmacy and the Temerty Faculty of Medicine in the Department of Laboratory Medicine and Pathobiology (LMP) at the University of Toronto. Both Faculties are nationally and internationally renowned as a premier location for AI research in healthcare and therapeutics. It is the home of Temerty Centre for Artificial Intelligence in Research and Medicine whose vision is to transform health through AI via research, education, data infrastructure and community. The LMP Department which is distinguished as one of the most concentrated biomedical research communities in the world and is part of the larger community which includes 11 fully-affiliated academic hospitals all of which have renowned vibrant Research Institutes . This network of basic scientists, computer scientists, clinicians, and pharmacists allow for collaborative interactions to facilitate transformative AI research. Graduate students can be recruited from LMP’s elite undergraduate Pathobiologist Specialist Program and MScAC in AI in Healthcare program, and from programs across both Faculties. The Leslie Dan Faculty of Pharmacy is home to the Graduate Department of Pharmaceutical Sciences which spans scientific domains as applied to drug discovery and drug use and decision making in society. The Faculty includes several research Centres that include a focus on using AI in drug discovery and drug use in society including The Centre for Real World Evidence, PRiME next generation precision medicine ,and the Centre for Practice Excellence .
Both Faculties are committed to applying the principles of equity, diversity, indigeneity, inclusion, and accessibility (EDIIA), and wellness in our operations. We seek a candidate whose approach to research, teaching, and leadership will support our commitment to these values.
How to apply:
All qualified candidates are invited to apply online by clicking the link below. Applicants should submit these six documents: 1) a cover letter; 2) a complete current curriculum vitae; 3) a single 2-page document that includes (in this specific order) a summary that describes education and training history, a list of the applicant's most important publications (up to five), a short explanation of the significance of these publications, and summary of their future research focus (up to 50 words); 4) a statement of long-term research interests (maximum of two pages, excluding citations); 5) a teaching dossier inlcuding a teaching philosophy and a statement of teaching activities, innovation and performance as course instructor, graduate student supervisor, student mentorship or other types of teaching activities (maximum of 2 pages); sample education and/or training materials (may include workhsops or hackathons developed or involved with); teaching or training evaluations corresponding to any teaching or training involved in; and 6) a description of past, present, and proposed equity, diversity, indigeneity, inclusion, and accessibility (EDIIA) activities (maximum one page).
Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each referee within 48 hours after an application is submitted. Applicants remain responsible for ensuring that references submit recent letters (on letterhead, dated, and signed) by the closing date. More details on the automatic reference letter collection, including timelines, are available in the candidate FAQ .
Submission guidelines can be found at . Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one file in PDF/MS Word format. If you have any questions about this position, please contact Ms. Xilonem Lopez, Academic Affairs Officer, at .
All application materials, including recent reference letters, must be received by Monday, September 29, 2025.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Diversity Statement
The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .
Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please contact .
AI Solutions Architect
Posted 4 days ago
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Join to apply for the AI Solutions Architect role at Open Box Software
2 days ago Be among the first 25 applicants
Join to apply for the AI Solutions Architect role at Open Box Software
At Open Box Software, we’ve been helping the world’s leading property companies work smarter since 2001. We design and deliver practical, cost-effective technology solutions - powered by AI, Microsoft Dynamics 365, the Power Platform, advanced analytics, and custom development - all underpinned by our guiding belief: "There’s always a better way."
We are now looking for a business-minded, AI-driven Solutions Architect who can turn real estate challenges into measurable business value - blending strategic consulting, technical architecture, and hands-on delivery leadership.
Why This Role Matters
This is not a pure technical build role. You will bridge the gap between vision and execution, helping clients identify high-value AI opportunities, architecting fit-for-purpose solutions, and ensuring adoption that delivers value. You’ll work with stakeholders at every level - from C-suite executives to delivery teams - becoming a trusted advisor in both AI and the real estate domain.
What You’ll Do
- AI Strategy & Advisory
- Lead client workshops to uncover where AI can make the biggest impact - examples include portfolio forecasting, lease abstraction, predictive maintenance, and tenant sentiment analysis.
- Translate business goals into a clear AI roadmap with tangible success metrics.
- Guide clients on ethical, secure, and scalable AI adoption.
- Solution Architecture & Design
- Architect AI prototypes using enterprise-grade tools.
- Ensure solutions integrate seamlessly into existing systems and data landscapes.
- Champion best practices in governance, security, and sustainable architecture.
- Delivery Leadership
- Partner with developers, data architects, data scientists, consultants and analysts to bring concepts to life.
- Provide hands-on oversight during proof-of-concepts and pilots.
- Monitor performance and ensure successful client adoption.
- Domain & Technical Expertise
- Build deep knowledge of real estate processes from property management and leasing to finance operations.
- Stay ahead of emerging PropTech and AI innovations.
- Rapid R&D to prove out concepts and try new technology.
- Relationship & Thought Leadership
- Build credibility as a strategic AI advisor in the real estate space.
- Mentor junior consultants and contribute to internal capability growth.
- Support proposals, client pitches, and demonstrations for AI-led transformation projects.
- 8+ years in technology consulting, solution architecture, or similar roles, with 6 months in AI-related work.
- Proven ability to engage at both strategic and delivery levels.
- Skilled in facilitation, presentation, and stakeholder influence.
- Experience with the Microsoft technology stack a plus.
- PropTech or real estate exposure advantageous but not essential - rapid learners welcome.
- Experience with leveraging AI tooling to assist in architecture and development.
- Business-centric technologist – passionate about AI for its business value, not just its novelty.
- Curious problem-solver – digs deep to understand challenges and deliver better ways forward.
- Collaborative leader – inspires teams and clients with credibility, empathy, and clarity.
- Lead high-impact AI transformation projects in a sector ready for innovation.
- Collaborate with former CIOs, CTOs, and global property leaders.
- Thrive in a culture of excellence, integrity, and continuous learning.
- Enjoy balance with hybrid work and a supportive Cape Town-based HQ.
- Grow your career into strategic advisory, architecture leadership, or practice lead roles.
- Seniority level Not Applicable
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
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TechnicalMachine Learning Engineer
Posted 5 days ago
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Apply by :
We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:
1.To see what life at Capitec is all about and complete a short assessment, pleaseclick here!
2. Once you have completed the above finalize your application by clicking apply below.
Join Us in Becoming the BestAzure AI Engineer
Posted 12 days ago
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Ampstek City of Johannesburg, Gauteng, South Africa
Ampstek City of Johannesburg, Gauteng, South Africa
Direct message the job poster from Ampstek
Europe & UK Recruiter @ Ampstek | Bachelor of Information TechnologyJob Title: AI Engineer
Location: Johannesburg, SA
Project site: Hybrid
Project type: Contract
Key Responsibilities:
- Design, develop, and maintain Python-based applications with a focus on performance and scalability.
- Build and deploy RESTful APIs within the Azure cloud environment .
- Apply software engineering best practices, including modular design, design patterns, and clean code principles .
- Follow and enforce development processes such as code versioning in Azure Repos , code reviews, and automated testing.
- Work with Large Language Models (LLMs) and Azure AI services to develop AI-powered solutions.
- Collaborate with data scientists, engineers, and product teams to translate AI concepts into production-ready applications.
- Integrate AI models into operational systems ensuring robustness, security, and scalability.
Required Skills & Qualifications:
- Strong proficiency in Python programming.
- Hands-on experience with API development and integration in cloud environments (preferably Azure).
- Solid understanding of software design principles and software development life cycle (SDLC) .
- Experience using Azure DevOps tools such as Azure Repos, Pipelines, and Boards.
- Familiarity with Large Language Models and other AI frameworks.
- Practical experience with Azure AI services (Cognitive Services, Azure OpenAI, Machine Learning).
- Proven track record of working on AI/ML projects from prototype to production.
- Seniority level Mid-Senior level
- Employment type Contract
- Job function Information Technology
- Industries IT Services and IT Consulting
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About the latest Ai emerging technologies Jobs in South Africa !
Machine Learning Engineer
Posted 18 days ago
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Job Description
Melio is seeking a passionate Machine Learning Engineer to join our expanding team:
- Level: Junior or Intermediate
- Position: Full time
- Salary: Based on technical experience
As a fast-paced start-up, our day-to-day is never the same. We look for candidates who love to take up new challenges and have the flexibility to go above-and-beyond the call of duty.
That being said, this specific role is for a team member to work in the Machine Learning AI team as a Machine Learning Engineer.
Job DescriptionThe candidate will be working with clients on projects focused on delivering reliable data-powered software applications to production. The primary focus of the role includes designing and implementing data pipelines, building models (machine learning or not), and deploying models.
Melio believes in nurturing cross-functional capabilities in our team, so you will need to work closely with other technical roles, such as BI specialists, data scientists, DevOps engineers and other data and machine learning engineers either to observe or to assist.
This is a technical role, but due to the consulting nature of many of our projects, the candidate needs to be able to communicate effectively with both business and technical stakeholders.
The list below is for both machine learning engineer and data engineer, but we are not expecting you to perform as both an ML engineer and a data engineer. The idea is you should be sufficiently comfortable with either role to be aware and able to communicate and learn from your colleagues.
What you will be working on- Fluent with the following languages: Python, Spark, PySpark, SQL.
- Strong analytical skills and passion for solving data problems.
- Strong communications skills and comfortable presenting your own thoughts to technical and business stakeholders.
- Familiar with building training and inference pipelines for ML projects.
- Familiar with fundamental machine learning theory and building, tuning, selecting models.
- Familiar with MLOps principals.
- Some experience with at least one Cloud provider.
- Some experience working with test automation and tools.
- Implement and test data engineering and machine learning software.
- Build and test data engineering and machine learning pipelines for data analytics or machine learning solutions.
- Collaborate and share technical knowledge with team members and co-workers.
- Follow all best practices and procedures as established by the client or industry.
- Document designed solutions and implemented tools.
- Brainstorm new solutions to improve data and ML software development and deployment.
- Basic understanding of the cloud-native ecosystem and desire to learn and grow in this environment.
- Assist with setting up CI (Continuous Integration) and CD (Continuous Delivery) tools with the team.
- Monitor data/model metrics, and develop ways to improve application development and deployment.
- Maintain day-to-day management and administration of projects.
- Bachelor’s degree in Computer Science, Engineering, Software Engineering, Applied Mathematics, Statistics, or related field.
- 2+ years experience working with data science and data engineering. Previous experience with software development (e.g. Python, Java, Go).
Desired Skills
- Contribute and/or passionate about open source projects.
- Masters/PhD in Data Science, Machine Learning or AI.
- AWS certifications (or any other cloud).
- Interested in learning more about Cloud Native Computing Foundation technologies.
- Up-to-date on latest industry trends; able to articulate trends clearly and confidently.
- Able to interact with other team members via code and design documents.
- Good interpersonal skills and communication with all levels of management.
- Able to multitask, prioritize, and manage time efficiently.
- Curious and eager to learn about new technologies.
- Strong in critical thinking and problem-solving.
If you are interested in this position please email Merelda ( ) with the below information:
#J-18808-LjbffrData Scientist – AI Platform – Johannesburg- up to R530 per hour
Posted 18 days ago
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Join to apply for the Data Scientist – AI Platform – Johannesburg- up to R530 per hour role at ExecutivePlacements.com - The JOB Portal
Data Scientist – AI Platform – Johannesburg- up to R530 per hour3 days ago Be among the first 25 applicants
Join to apply for the Data Scientist – AI Platform – Johannesburg- up to R530 per hour role at ExecutivePlacements.com - The JOB Portal
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SUMMARY:
Data Scientist – AI Platform – Johannesburg- up to R530 per hour
Recruiter:
E-Merge
Job Ref:
NG59920
Date posted:
Tuesday, May 20, 2025
Location:
Pretoria, South Africa
Salary:
SUMMARY:
Data Scientist – AI Platform – Johannesburg- up to R530 per hour
POSITION INFO:
A dynamic global group with a focus on innovation topics as well as comprehensive IT solutions and Global Team collaboration driving experiences with a deep insight into the compliance and IT Methodology processes is recruiting for an AI Consultant / Data Scientist to offer a deep insight into the compliance and IT Methodology processes, with the ability to offer an extended vested interest in the success and sustainability of the group.
Responsibilities:
- Assessing the department''s current AI maturity and identifying opportunities to leverage AI to improve business processes, decision-making, and outcomes.
- Designing and implementing AI solutions, including developing machine learning models, automating workflows, and integrating AI into existing systems.
- Providing training, coaching, and hands-on support to help our IT developers, functional consultants, business analysts.
- Serving as a subject matter expert and thought leader on AI, educating stakeholders and the department on the latest trends, technologies, and best practices.
- Collaborating cross-functionally to translate technical AI concepts into business value and get buy-in for AI initiatives.
- Continuously monitoring the performance of AI solutions and adjusting optimize their effectiveness.
- Any additional responsibilities assigned in terms of the Agile Working Model (AWM) Charter.
- BSc in Statistics, Informatics, or Computer Science
- NLP/NLU Technology Integration
- Strong interpersonal and organizational skills.
- Proficiency in Python (preferred), DevOps, and Cloud Management (AWS Sagemaker, EC2, S3).
- Experience in machine learning, automation, and change management.
- Languages: Python, JavaScript, HTML, CSS
- Tools: GitHub, Jira, Confluence, PyCharm, VSCode
- OS: Windows, Linux, Unix
Are you ready for a change of scenery? e-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the e-Merge IT website for more great positions.
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Seniority level
- Seniority level Entry level
- Employment type Contract
- Job function Engineering and Information Technology
- Industries Advertising Services
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#J-18808-LjbffrGenAI Data Scientist
Posted 18 days ago
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SUMMARY:
We are seeking an experienced Data Scientist with specialized expertise in Generative AI and LLMs.
Recruiter:
Datonomy Solutions
Job Ref:
855
Date posted:
Thursday, July 10, 2025
Location:
Cape Town, South Africa
Salary:
R100k - 120k per month
SUMMARY:
We are seeking an experienced Data Scientist with specialized expertise in Generative AI and LLMs.
POSITION INFO:
We are seeking an experienced Data Scientist with specialized expertise in Generative AI and LLMs (Large Language models to join our team and help lead the implementation of cutting-edge AI solutions for a large retail customer.
Please note this role is based in Cape Town - ONSITE and is 12-month initial contract.
This is an exciting opportunity to work on a greenfield Generative AI project for a major retailer, where your contributions will have a direct impact on innovation and business growth.
Key Responsibilities :
- Lead the design and development of Generative AI models tailored to retail-specific use cases, such as personalized recommendations, content creation, and customer engagement.
- Collaborate with stakeholders, including data engineers, software developers, and business leaders, to identify opportunities for applying Generative AI within the retail environment.
- Build, train, and fine-tune models such as GPT, GANs, VAEs, or similar architectures to generate text, images, and other content that enhances the retail customer experience.
- Analyze large datasets to uncover patterns and insights that drive model development and improve decision-making processes.
- Prototype, validate, and deploy AI models into production environments, ensuring scalability and integration with existing systems.
- Stay up-to-date with advancements in Generative AI and machine learning technologies, implementing best practices and new methodologies to continuously enhance the project.
- Provide technical mentorship to junior data scientists and collaborate with the broader team to foster a culture of innovation and learning.
- Master’s or PhD in Data Science, Machine Learning, Artificial Intelligence, Computer Science, or a related field.
- 3+ years of experience as a Data Scientist, with at least 1 year focused on Generative AI projects.
- Proficiency with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
- Experience in the architecture & integration of large language models (LLMs)
- Experience working with Generative AI models such as GPT, GANs, or VAEs.
- Strong programming skills in Python, R, or a similar language, and experience with cloud platforms (AWS, Google Cloud, or Azure).
- Excellent problem-solving skills with the ability to transform complex business problems into AI-driven solutions.
- Strong understanding of data manipulation, processing, and cleaning techniques, with hands-on experience working with large datasets.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Experience in the retail industry or working on AI-driven customer experience initiatives.
- Familiarity with natural language processing (NLP), computer vision, and deep learning techniques.
- Strong knowledge of MLOps principles for deploying and maintaining machine learning models at scale.
- Prior experience with AI ethics, bias mitigation, and responsible AI practices.
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Advertising Services
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