460 AI Programmer jobs in South Africa

Developer – AI Integration

My client builds smart automation tools that simplify workflows and help businesses scale.

We're looking for a seasoned developer to design and deliver next-gen web applications powered by AI.

What you'll do:

• Lead the design and build of secure, scalable full-stack applications.
• Integrate AI/ML features like NLP, chatbots, and predictive analytics into production systems.
• Guide junior developers, set coding standards, and promote best practices.
• Ensure performance, reliability, and robust security across platforms.
• Work with Docker/Kubernetes, cloud platforms, and modern DevOps pipelines to streamline deployment.
• Design efficient data models and manage both SQL and NoSQL databases.
• Collaborate with business teams to turn ideas into technical solutions.

What you bring:

• 5+ years' experience in full-stack development.
• Strong front-end skills (React, Vue, or Angular) and backend expertise , Python frameworks, REST APIs).
• Proven experience deploying applications on AWS, Azure, or GCP.
• Hands-on experience with Docker, Kubernetes, and CI/CD workflows.
• Practical exposure to integrating AI/ML models into live applications.
• Solid knowledge of database design, optimization, and security best practices.
• Strong Git and collaborative coding experience.

We don’t just follow trends — we turn them into smart, scalable solutions. From digital transformation to AI-powered insights, we help teams cut through the noise, automate the tedious, and unlock real business value with tech that actually works.

We’re looking for an AI Developer who thrives on clever algorithms, clean code, and isn’t afraid of a good machine learning meme. If you’re equal parts builder, thinker, and tinkerer, this might be your next move.

What you’ll bring:

• 4–6 years of experience with feature development, SDLC, and agile practices.
• Solid programming experience (Java, Golang, Rust) plus exposure to agentic development tools.
• Hands-on AI development, working with agentic and IDE tools on real client solutions.
• Practical knowledge of Agile, including CI/CD pipelines and automated testing.
• Strong technical depth across database design, API development, cloud-native and on-premise environments.
• Confident stakeholder management — working directly with client teams to problem-solve and deliver.

The deal:

• Ref: GZ60836
• Type: Permanent | 100% Remote
• Compensation: Up to R1,000,000 CTC per annum, negotiable based on experience.

Apply:
Call:
More roles:
Referral bonus: We pay cash for successful referrals

Role Description Bonus

• Design, train, and deploy AI/ML models that solve real school challenges – from personalising parent communication to forecasting school finances and simplifying administrative tasks.
• Work with product and engineering teams to translate messy real-world problems into scalable AI solutions.
• Build pipelines and APIs that make AI a seamless part of our SaaS platforms.
• Monitor and tune models in production to ensure performance, reliability, and fairness.
• Help shape our AI strategy and mentor developers as we scale AI capability across d6.

Role Requirements

• 8+ years in software engineering, with at least 3 years in applied AI/ML.
• Strong Python skills and experience with frameworks like PyTorch, TensorFlow, Hugging Face.
• Proven ability to deploy and maintain models in production (MLOps, monitoring, lifecycle management).
• Experience with agentic AI and MCP/A2A.
• Experience with NLP, LLMs, or recommendation systems.
• Knowledge of cloud AI services (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes).
• Solid foundations in APIs, data structures, and secure coding.

Bonus if you have

• Built AI features for SaaS products, especially in multi-tenant environments.
• Experience with vector databases, embeddings, or RAG pipelines.
• Domain experience in EdTech, MIS, or compliance-heavy data environments (GDPR, POPIA).

POSITION PURPOSE

The AI Specialist Developer role is hands-on, leaning on years of technology creation & development experience to develop future capable AI powered agentic solutions while also sculpting the next generation AI vision and journey.

ESSENTIAL FUNCTIONS AND BASIC DUTIES

1.Strategic AI Vision

a.Define and continuously refine the company's AI solutions roadmap, with a clear focus on creating autonomous, intelligent agentic agents that deliver value across property management, leasing, facilities, valuations, sustainability, and customer experience.

b.Define and continuously refine
the company's
internal AI optimisation strategy, identifying opportunities for autonomy and implementing AI-enabled engagement clients.

c.Thought leadership and public engagement, the candidate must be comfortable representing the business in public forums.

2.AI as a Competitive Advantage

a.Identify how AI can set
the company's
customers apart in the African real estate market — leading practical deployment.

b.Translate AI into outcomes: faster decisions, smarter operations, superior client value.

3.Data & Technology Stewardship

a.Oversee the design of data architectures and pipelines that enable clean, actionable data to fuel machine learning, predictive analytics, and decisioning engines.

b.Ensure interoperability of AI tools with b# and other client systems.

4.Innovation Partnerships & Ecosystem Building

a.Forge relationships with
the company's
innovators, AI labs, universities, and enterprise tech partners to co-create solutions.

b.Represent
the company's
in industry forums, driving the AI conversation for African real estate.

5.Cultural & Organisational AI Adoption

a.Be the internal AI ambassador - inspiring teams, upskilling people, and ensuring AI becomes part of
the company's
customers operating DNA, not just a bolt on.

6.Ethics & Responsible AI

a.Ensure AI deployment is ethical, explainable, and aligned with the company's values, client trust, and regulatory requirements.

7.Development & Technology Capability

a.Has comprehensive experience in developing AI and agentic AI solutions.

b.Has comprehensive experience with development tools, specifically:

i.Microsoft C#

ii.Microsoft SQL Server

8.Task Management

a.All requests and tasks are logged and tracked

QUALIFICATIONS

• Bachelor Degree in computer science or data science
• Detailed knowledge development of AI solutions
• At least 5 years of AI solution development
• Experience working with senior decision makers
• Experience in data modeling and analysis and providing solutions

SKILLS/ABILITIES:

• Non negotiable - 3+ years experience on C# .NET
• Experience on C#, MS SQL
• Advantageous: Copilot or other AI development platforms
• Strong verbal and written communication skills
• Strong interpersonal skills
• Proven analytical background
• Advanced Excel skills
• Strong analytical skills and inclination for problem-solving
• Ability to analyse large datasets
• Ability to write comprehensive reports
• Attention to detail

Join a forward-thinking PropTech company in Sandton as a Specialist AI Developer.

Location: Sandton (Hybrid) and Perm

Drive the next wave of innovation by
developing agentic AI solutions
that power smarter property management, leasing, and sustainability initiatives.

This hands-on role requires experience shaping AI strategies, building data pipelines, and collaborating with industry partners.

• Minimum 3 years' C#.Net
  experience essential.
• Advanced skills in data modeling, Microsoft SQL, and a passion for
  ethical, explainable AI
  will set you apart.

Budget around R CTC per annum

About talent match africa (tma)

talent match africa
is on a mission to unlock Africa's potential by connecting exceptional talent with organizations that are shaping the future. We don't just match skills to roles - we match people to possibilities. With a strong network across industries and a people-first approach, we help companies thrive while empowering professionals to build meaningful careers.

About this role

As a
Machine Learning Engineer
, you'll go beyond writing code to solving real-world problems with data. This role is about designing intelligent systems that learn and improve, tackling complex challenges that demand both creativity and technical depth. You'll thrive in collaboration, bringing ideas to life alongside a dynamic team.

What You'll Do

• Design, build, and deploy machine learning models and algorithms
• Develop scalable data pipelines for model training and inference
• Optimize models for performance and efficiency
• Collaborate with data scientists to bring research into production
• Monitor and maintain ML models in live environments
• Implement A/B testing frameworks to validate models
• Work with large-scale datasets and distributed computing systems
• Maintain and enhance existing ML systems

What We're Looking For

Required

• 3+ years of experience in machine learning and software development
• Proficiency in Python, R, or Scala
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Strong understanding of statistics and mathematics
• Experience with version control and software engineering best practices

Preferred

• Exposure to MLOps tools and practices
• Knowledge of containerization (Docker, Kubernetes)
• Experience building real-time inference systems

Why tma?

At
talent match africa
, you're not just taking on a job, you're joining a movement. You'll work with innovative teams, get exposure to impactful projects, and be part of an ecosystem that's redefining how Africa connects to opportunities.

The role of the Specialist Machine Learning Engineer encompasses many activities, including (but not limited to):

• Focusing on niche areas of machine learning, such as natural language processing, computer vision, or reinforcement learning.
• Developing domain-specific ML models tailored to specialized business needs.
• Conducting in-depth research and prototyping innovative solutions using advanced ML techniques.
• Identifying opportunities to apply cutting-edge machine learning advancements to improve processes or create new capabilities.
• Collaborating with other Engineers to transfer research findings into scalable, production-ready solutions.
• Providing expert insights on specific tools, frameworks, or algorithms, ensuring the organization stays ahead in ML innovation.
• Contributing to the development of internal ML tools and libraries to streamline workflows.

Minimum Qualification:

• NQF 6 or higher tertiary qualification in Information Communication Technology (ICT) field incorporating (but not limited to) Information Systems; Cloud certification.

Minimum Experience:

• Minimum of 6 years' experience in a field of a Machine Learning Engineer role.

This 12-month remote contract role places you on an international machine learning project through Dijkstrack for one of our global technology partners. You'll work within a distributed engineering team to design, train, and deploy ML models using modern frameworks like PyTorch. Dijkstrack engineers enjoy access to technical community support, structured delivery processes, and the opportunity to embed within long-term global product teams.

• Design, train, and deploy machine learning and deep learning models using PyTorch
• Build and maintain ML pipelines, model training workflows, and data processing components
• Work with product and engineering teams to integrate models into production systems
• Analyse datasets, performance metrics, and optimise models for accuracy and efficiency
• Implement MLOps best practices for model versioning, deployment, and monitoring
• Document models, datasets, evaluations, and maintain reproducibility standards
• Participate in code reviews and uphold engineering quality in ML codebases

• Strong proficiency in Python for ML development
• Hands-on experience with PyTorch (TensorFlow experience also welcome)
• Solid understanding of machine learning fundamentals, model architectures, training loops
• Ability to work with large datasets, ETL pipelines, and model optimisation
• Familiarity with Git workflows, remote collaboration, and agile delivery models

• Experience with ML Ops tools like MLflow, Weights & Biases, SageMaker, or similar
• Exposure to cloud-based ML deployments (AWS, Azure, GCP)
• Knowledge of microservice integration for ML models
• Prior work in AI product teams or international ML research environments

• Join a network of engineers delivering advanced ML solutions internationally
• Technical community of senior engineers across data, backend, and product domains
• Remote-first culture, global exposure, and structured technical delivery support

Contract

3 to 15 years

Negotiable

16 October 2025

PBT Group is seeking a highly skilled Machine Learning Engineer to design, build, and deploy scalable machine learning solutions across complex data environments. The successful candidate will work closely with data scientists, data engineers, and business stakeholders to operationalise machine learning models, optimise data pipelines, and contribute to the continuous improvement of advanced analytics solutions.

This role requires a blend of strong data engineering expertise, applied machine learning knowledge, and cloud-based solution experience.

Key Responsibilities

• Design, develop, and deploy machine learning models into production environments.
• Build and maintain end-to-end ML pipelines for data ingestion, transformation, feature engineering, model training, and inference.
• Collaborate with data scientists to move models from experimentation to production.
• Optimise model performance and ensure scalability, reliability, and monitoring of ML systems.
• Implement MLOps best practices, including CI/CD automation, version control, model tracking, and reproducibility.
• Work with data engineers to ensure robust data quality, governance, and accessibility.
• Research and experiment with emerging AI/ML techniques and tools to enhance capabilities.
• Document processes and provide technical guidance to cross-functional teams.

Technical Skills & Experience

• Programming: Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• ML Lifecycle Management: Experience with MLflow, Kubeflow, SageMaker, or similar platforms.
• Data Pipelines: Solid understanding of ETL/ELT processes and tools such as Airflow, Spark, or Databricks.
• Cloud Platforms: Hands-on experience with AWS, Azure, or GCP (data and AI services).
• Databases: Strong SQL skills and experience with both relational and NoSQL data stores.
• Model Deployment: Experience deploying ML models via APIs, containers (Docker, Kubernetes), or cloud endpoints.
• Version Control & CI/CD: Git, Jenkins, or GitHub Actions.
• Bonus: Exposure to Deep Learning, NLP, or Computer Vision frameworks.

Soft Skills

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration with both technical and business stakeholders.
• Proactive and curious mindset, with the ability to learn and adapt quickly.
• Strong documentation and presentation abilities.

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
• 3+ years of experience in applied machine learning or AI solution development.

• Proven track record of delivering production-ready ML models in real-world environments.

• In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent

• If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.

Data ScienceMachine LearningSQLPythonExtract Transform Load (ETL)Spark MLArtificial Intelligence

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