81 AI Architecture jobs in South Africa
Ai Platform Architecture
Posted 2 days ago
Job Viewed
Job Description
- Work alongside & learn from best in class talent
- Join a well known brand within Telecommunications
The Job
You will be responsible for :
- Responsible for architecting scalable, high-performance AI platforms tailored to meet the unique requirements ofapplications, such as customer service automation, predictive maintenance, network optimization, and fraud detection in alignment with business objectives
- Oversee the design & integration of AI systems withnetwork infrastructures (5G, IoT, etc.) optimizing performance for real-time, large-scale data processing while maintaining reliability and scalability across dynamic telecom environments
- Spearhead the adoption of cloud-native architectures and oversee the seamless deployment of AI models across both private and public cloud environments ensuring optimal performance and scalability across AI systems
- Collaborate with data scientists, network engineers, and software developers to ensure seamless integration of AI capabilities into core services and system
- Provide strategic guidance in defining and implementing best practices for AI model versioning, governance, and monitoring ensuring that AI models adhere to operational standards
- Work closely with the Infosec teams to ensure that all AI solutions comply with strict data protection laws (as applicable) and telecom industry regulations, safeguarding data privacy and security across all platforms
- Partner with AI Legal & Regulatory teams to implement state-of-the-art security protocols in AI platforms, including identity management, encryption, and anomaly detection to safeguard sensitive customer and network data
- Monitor platform resource usage, propose cost-saving initiatives, and drive optimization for AI workloads in cloud environments. Provide regular status updates and reports to key stakeholders to keep them informed of progress and outcomes
- Continuously evaluate and improve AI system performance, addressing latency, processing time, and system stability to optimize services and ensuring the AI systems deliver maximum efficiency and value across the organization
- Serve as a key technical advisor to the GM : AI COE Lead and other senior stakeholders in defining the organization’s AI vision and aligning the platform strategy with broader business goals
- Collaborate with stakeholders to identify new opportunities for AI integration, uncover potential use cases, and design innovative AI-driven solutions that enhance operational efficiency, improve customer experiences, and support the company’s strategic objectives
- Identify, assess, and mitigate risks related to the deployment and operation of AI models in telecom environments. Ensure AI platforms follow industrystandard governance and compliance frameworks while also adhering to telecom-specific regulations and guidelines
The Profile
Education :
- Bachelor’s degree in Computer Science, Data Science, Information Technology or a related field
- Relevant certifications in data engineering or AI / cloud platforms (preferred)
Experience :
- 8+ years of experience in AI platform architecture, deployment, and optimization, ideally within large-scale telecom environments
- Strong background in designing enterprise-scale AI platforms integrating with IT and cloud environments
- Hands on experience in AI platform development, API management, or MLOps practice
- Experience of working in a dynamic, fast-paced environment
Skills :
- Proficiency in AI and machine learning frameworks (TensorFlow, PyTorch, Keras)
- Proficient with public cloud platforms (AWS, Azure, Google Cloud) for AI and telecom solutions
- Experience in containerization and orchestration tools (e.g. : Docker, Kubernetes) for AI deployment
- Strong understanding of telecom networks (5G, IoT, edge computing) and how AI can optimize them
- In-depth Knowledge of security protocols in AI and telecom, including data privacy, encryption, and secure access management
The Employer
Our client is your trusted digital partner for tailored IT solutions with expertise in web & app dev, e-comm, digital marketing, branding, & web security.
Create a job alert for this search #J-18808-LjbffrAI Platform Architecture
Posted 13 days ago
Job Viewed
Job Description
2 days ago Be among the first 25 applicants
InfyStrat is seeking an experienced AI Platform Architect to join our innovative team. In this role, you will be responsible for the design, architecture, and implementation of AI platforms that drive data analysis and machine learning initiatives across our organization. You will work closely with data scientists, engineers, and business stakeholders to define AI strategies and ensure the successful deployment of AI solutions. The ideal candidate will have a strong background in AI technologies, cloud computing, and data architecture. We value creativity, strategic thinking, and a passion for pushing the boundaries of what technology can achieve. If you are looking to make a significant impact through AI and data-driven solutions, we invite you to apply.
Responsibilities
- Design and architect scalable AI platforms that support data ingestion, processing, and analytics
- Collaborate with data scientists and engineers to define AI project requirements and technical specifications
- Evaluate and select appropriate AI and machine learning tools and frameworks
- Implement best practices for deploying and monitoring AI models in production
- Work on data architecture to ensure data availability and integrity for AI applications
- Stay current with advancements in AI technologies and industry trends
- Provide technical leadership and mentorship to project teams
- Bachelor's degree in Computer Science, Information Technology, or a related field
- 8+ years of experience in software development and architecture, with a focus on AI and machine learning platforms
- Strong understanding of AI technologies, algorithms, and frameworks (e.g., TensorFlow, PyTorch, etc.)
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and data solutions
- Proficiency in programming languages such as Python, Java, or Scala
- Excellent analytical and problem-solving skills
- Outstanding communication skills, with the ability to convey complex concepts to diverse audiences
- Relevant certifications in AI or cloud architecture are preferred
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Other
- Industries IT Services and IT Consulting
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#J-18808-LjbffrAI Platform Architecture
Posted 13 days ago
Job Viewed
Job Description
InfyStrat is seeking an experienced AI Platform Architect to join our innovative team. In this role, you will be responsible for the design, architecture, and implementation of AI platforms that drive data analysis and machine learning initiatives across our organization. You will work closely with data scientists, engineers, and business stakeholders to define AI strategies and ensure the successful deployment of AI solutions. The ideal candidate will have a strong background in AI technologies, cloud computing, and data architecture. We value creativity, strategic thinking, and a passion for pushing the boundaries of what technology can achieve. If you are looking to make a significant impact through AI and data-driven solutions, we invite you to apply.
Responsibilities- Design and architect scalable AI platforms that support data ingestion, processing, and analytics.
- Collaborate with data scientists and engineers to define AI project requirements and technical specifications.
- Evaluate and select appropriate AI and machine learning tools and frameworks.
- Implement best practices for deploying and monitoring AI models in production.
- Work on data architecture to ensure data availability and integrity for AI applications.
- Stay current with advancements in AI technologies and industry trends.
- Provide technical leadership and mentorship to project teams.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 8+ years of experience in software development and architecture, with a focus on AI and machine learning platforms.
- Strong understanding of AI technologies, algorithms, and frameworks (e.g., TensorFlow, PyTorch, etc.).
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and data solutions.
- Proficiency in programming languages such as Python, Java, or Scala.
- Excellent analytical and problem-solving skills.
- Outstanding communication skills, with the ability to convey complex concepts to diverse audiences.
- Relevant certifications in AI or cloud architecture are preferred.
AI Platform Architecture
Posted 13 days ago
Job Viewed
Job Description
Your trusted digital partner for tailored IT solutions with expertise in web & app dev, e-comm, digital marketing, branding, & web security. We enable your overall success on every online platform & a complete digital transformation. At Ekfrazo, we acknowledge the minutest of details that go into every work that we do. To accomplish this, we take all the responsibilities of delivering a perfected work on time which includes Software & Product Development, Web & Mobile Apps, Branding, Digital Marketing, IT Consulting, Recruitment & Staffing. Our areas of expertise include delivering the best possible work based on the ideas and the requirements that you have with a blend of our creativity and skills, be it in any domain.
The Role
You will be responsible for :
- Responsible for architecting scalable, high-performance AI platforms tailored to meet the unique requirements ofapplications, such as customer service automation, predictive maintenance, network optimization, and fraud detection in alignment with business objectives
- Oversee the design & integration of AI systems withnetwork infrastructures (5G, IoT, etc.) optimizing performance for real-time, large-scale data processing while maintaining reliability and scalability across dynamic telecom environments
- Spearhead the adoption of cloud-native architectures and oversee the seamless deployment of AI models across both private and public cloud environments ensuring optimal performance and scalability across AI systems
- Collaborate with data scientists, network engineers, and software developers to ensure seamless integration of AI capabilities into core services and system
- Provide strategic guidance in defining and implementing best practices for AI model versioning, governance, and monitoring ensuring that AI models adhere to operational standards
- Work closely with the Infosec teams to ensure that all AI solutions comply with strict data protection laws (as applicable) and telecom industry regulations, safeguarding data privacy and security across all platforms
- Partner with AI Legal & Regulatory teams to implement state-of-the-art security protocols in AI platforms, including identity management, encryption, and anomaly detection to safeguard sensitive customer and network data
- Monitor platform resource usage, propose cost-saving initiatives, and drive optimization for AI workloads in cloud environments. Provide regular status updates and reports to key stakeholders to keep them informed of progress and outcomes
- Continuously evaluate and improve AI system performance, addressing latency, processing time, and system stability to optimize services and ensuring the AI systems deliver maximum efficiency and value across the organization
- Serve as a key technical advisor to the GM : AI COE Lead and other senior stakeholders in defining the organization’s AI vision and aligning the platform strategy with broader business goals
- Collaborate with stakeholders to identify new opportunities for AI integration, uncover potential use cases, and design innovative AI-driven solutions that enhance operational efficiency, improve customer experiences, and support the company’s strategic objectives
- Identify, assess, and mitigate risks related to the deployment and operation of AI models in telecom environments. Ensure AI platforms follow industrystandard governance and compliance frameworks while also adhering to telecom-specific regulations and guidelines
Ideal Profile
Education :
- Bachelor’s degree in Computer Science, Data Science, Information Technology or a related field
- Relevant certifications in data engineering or AI / cloud platforms (preferred)
Experience :
- 8+ years of experience in AI platform architecture, deployment, and optimization, ideally within large-scale telecom environments
- Strong background in designing enterprise-scale AI platforms integrating with IT and cloud environments
- Hands on experience in AI platform development, API management, or MLOps practice
- Experience of working in a dynamic, fast-paced environment
Skills :
- Proficiency in AI and machine learning frameworks (TensorFlow, PyTorch, Keras)
- Proficient with public cloud platforms (AWS, Azure, Google Cloud) for AI and telecom solutions
- Experience in containerization and orchestration tools (e.g. : Docker, Kubernetes) for AI deployment
- Strong understanding of telecom networks (5G, IoT, edge computing) and how AI can optimize them
- In-depth Knowledge of security protocols in AI and telecom, including data privacy, encryption, and secure access management
What's on Offer?
- Work alongside & learn from best in class talent
- Join a well known brand within Telecommunications
Ai platform architecture
Posted today
Job Viewed
Job Description
Ai platform architecture
Posted today
Job Viewed
Job Description
Ai platform architecture
Posted today
Job Viewed
Job Description
Be The First To Know
About the latest Ai architecture Jobs in South Africa !
Senior Manager- AI Infrastructure Architecture :
Posted 13 days ago
Job Viewed
Job Description
SUMMARY : Overview :
Develop and manage scalable AI infrastructure strategies for cloud and on-prem environments to support enterprise AI workloads.
Key Responsibilities :
- Architect infrastructure for AI training, inferencing, and deployment.
- Design cost-efficient, secure, high-performance AI environments.
- Implement MLOps pipelines and Infrastructure as Code (IaC).
- Manage orchestration using Kubernetes and real-time monitoring.
- Ensure seamless integration with enterprise IT systems.
- Drive governance, compliance, and performance tuning.
Experience & Skills :
CVS to be sent directly to :
POSITION INFO : Platform Architect :
Education :
Experience :
Skills :
Postdoctral Research Fellowship – Deep Learning and Bioacoustics African Institute for Mathemat[...]
Posted 13 days ago
Job Viewed
Job Description
Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship.
If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply!
AIMS South Africa in Cape Town, a few meters from the beach! ?
Application deadline: applications will be reviewed as they are received
Start date: immediate
A recent report issued by theWWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals.
Fellowship OpportunityTheAfrican Institute for Mathematical Sciences (AIMS) andStellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues.
This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries. Research outputs will be submitted to Q1 ranked international journals.
The fellow will work closely withDr. Emmanuel Dufourq and theMachine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda.
Core Responsibilities- Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks.
- Maintain research code in a GitHub repository and use current programming practices.
- Actively participate in research meetings and take initiative to grow the group’s collaborative network.
- Co-supervise students in the area of deep learning for wildlife monitoring.
- Assist the research group in research and academic tasks.
- 40 hours of research work per week.
- Ph.D. in a relevant mathematical science (e.g. computer science, mathematics, …).
- Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.
- Clear evidence of completed deep learning projects in computer vision or audio tasks.
- Good mathematical and problem solving skills as the candidate will actively engage in this.
- A strong desire to apply machine learning to bioacoustics problems.
- Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).
- Strong communication skills (English written, oral, and presentation).
If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time!
The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply.
Start dateImmediately, in-person in Cape Town
Applications must include- A complete CV,
- Proof of Ph.D. completion,
- A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest.
Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position.
Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis).
DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications.
#J-18808-LjbffrPostdoctral Research Fellowship - Deep Learning and Bioacoustics African Institute for Mathemat[...]
Posted today
Job Viewed
Job Description
Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship.
If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply!
AIMS South Africa in Cape Town, a few meters from the beach! ?
Application deadline: applications will be reviewed as they are received
Start date: immediate
A recent report issued by the WWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals.
Fellowship OpportunityThe African Institute for Mathematical Sciences (AIMS) and Stellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues.
This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries. Research outputs will be submitted to Q1 ranked international journals.
The fellow will work closely with Dr. Emmanuel Dufourq and the Machine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda.
Core Responsibilities- Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks.
- Maintain research code in a GitHub repository and use current programming practices.
- Actively participate in research meetings and take initiative to grow the group’s collaborative network.
- Co-supervise students in the area of deep learning for wildlife monitoring.
- Assist the research group in research and academic tasks.
- 40 hours of research work per week.
- Ph.D. in a relevant mathematical science (e.g. computer science, mathematics, …).
- Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.
- Clear evidence of completed deep learning projects in computer vision or audio tasks.
- Good mathematical and problem solving skills as the candidate will actively engage in this.
- A strong desire to apply machine learning to bioacoustics problems.
- Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).
- Strong communication skills (English written, oral, and presentation).
If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time!
The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply.
Start dateImmediately, in-person in Cape Town
Applications must include- A complete CV,
- Proof of Ph.D. completion,
- A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest.
Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position.
Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis).
DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications.
#J-18808-Ljbffr