30 ml engineer Jobs and Work in gauteng

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AI Product Engineer
Sanlam —Midrand, Gauteng
3h
Solution Engineer | South Africa | Virtual
Avaya —Johannesburg, Gauteng
- Remote
11h
Data Engineer
Hire Hangar —Johannesburg, Gauteng
- Full-time
- Remote
Quick Apply
AI Engineer
Vaimo —Pretoria, Gauteng 0083
Quick Apply
Data Engineer
Dis-Chem Life —Sandton, Gauteng
Senior Software Engineer
Vista Group —Pretoria, Gauteng
- Full-time
- Remote
Quick Apply
Lead, Data Scientist
Standard Bank —Johannesburg, Gauteng
- Full-time
6d
AI Engineer
Agile Bridge —Pretoria, Gauteng 0081
- Full-time
Quick Apply
AI Engineer
iqbusiness South Africa —Johannesburg, Gauteng
Technical Lead - AI Enablement Squad
Discovery Ltd. —Sandton, Gauteng
9d
Data Scientist
Nedbank —Johannesburg, Gauteng
Senior AI Engineer
NTT Ltd —Johannesburg, Gauteng
- Full-time
Senior AI Engineer
NTT DATA —Johannesburg, Gauteng 2001
- Full-time
Data Scientist - Credit Eligibility
M-KOPA —Johannesburg, Gauteng
- Full-time
- Remote
Senior Systems Analyst
NTT Data —Johannesburg, Gauteng
Quick Apply
13d
AI Development Specialist - Azure (Contract)
The Focus Group —Sandton, Gauteng
AI Engineer
Platform45 —Johannesburg, Gauteng 2196
- Full-time
Quick Apply
Data Lead
Talent Engine —Centurion, Gauteng
- Full-time
Quick Apply
Senior DevOps Databricks Engineer
GoTymeX —Johannesburg, Gauteng
- Full-time
Quick Apply
AI Workflow Engineer
team5pm —Johannesburg, Gauteng
- Full-time
Quick Apply

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AI Product Engineer

Sanlam -
Midrand, Gauteng

Apply Now

Job Details

Permanent
3 hours ago

Full Job Description

Who are we?

At MiWay, our purpose is to enable people to live their way. We understand that life is not just about "things" but the meaning that those things bring to your life. We believe that technology and innovation have infinite possibilities when it's inspired by humans by you.

Therefore, we focus on our clients' needs; finding new ways to simplify their lives and how they do things.

We give them products, services, and solutions that enable them to live and enjoy life on their own terms – in their own way.

Agile values and principles are strongly embedded in our culture, and they are at the core of how we make decisions and how we approach adding value within the company.

What will you do?

MiWay is seeking an AI Product Engineer to design, build, deploy, and continuously improve AI-powered products. This role will work closely with business area heads, executive stakeholders, data science, technology, risk, and delivery teams to design and deliver AI solutions that create measurable business value. The AI Product Engineer bridges data science, software engineering, and product thinking. This role ensures AI solutions are robust, scalable, and aligned with user needs and business objectives. This role will form part of the CIO reporting line, reporting directly to the AI Product Lead.

What will make you successful in this role?

Minimum Qualification Required

A relevant tertiary qualification (Bachelor’s degree or equivalent)
Qualification in Business, Engineering, Data Science, Computer Science, or a related field
Postgraduate qualification will be advantageous
Product Design, Agile development, or AI related certifications will be beneficial

Minimum Experience

Minimum 3–4 years’ experience in software engineering, machine learning and data science
At least 2–3 years’ experience delivering AI and automation solutions in a production environment
Proven experience delivering products or initiatives with measurable business value
Experience operating in financial services, insurance, or a regulated environment
Strong experience working with:
Data science and engineering teams
Agile delivery teams
Senior executives and business leaders

Required Skills and Experience

Technical Skills

Programming: Python (required), SQL (required), Golang (Advantageous), Rust (Advantageous), JavaScript / TypeScript (Advantageous)
Operating Systems

o Linux: Experience with Red Hat, BASH commands and scripting
o Windows: PowerShell commands and scripting

AI/ML:

o Classical ML and deep learning fundamentals
o LLMs (e.g., ChatGPT, Claude, open-source models)
o A good understanding of LLM architectures and transformer fundamentals
o Knowledge grounding (RAG architectures)
o Retrieval systems (vector databases, embeddings)
o Prompt engineering and evaluation
o Context orchestration and management
o LLM QLoRA fine-tuning (SFT, DPO)
o LLM Quantization (GGUF)

Frameworks:

o FastAPI
o Llamacpp / Ollama
o PyTorch and Hugging Face Transformers
o Pandas / Numpy / H2O.ai
o NEXT.js (Advantageous)

Data:

o SQL Server / relational databases
o Data pipelines and ETL

Cloud and DevOps:

o Azure (preferred), AWS
o Docker, CI/CD pipelines

Version control: Git

Soft Skills

Strong problem-solving and analytical thinking
Ability to bridge technical and business discussions
Clear communication
Ownership mindset

Key Deliverables

Production-ready AI features and services
Scalable AI/ML pipelines
Prompt libraries and evaluation frameworks
Monitoring dashboards and alerting systems
Technical documentation and architecture diagrams

Deliverables include, but will not be limited to

The AI Product Lead will be responsible for, but not limited to, the following:
AI Product Development

Design and implement end-to-end AI solutions (LLMs, ML models)
Translate business problems into AI-driven product features and solutions
Build APIs, services, and pipelines to integrate AI models into production systems
Develop agent-based systems (e.g., Microsoft Copilot Studio agents, automation workflows)

Model Integration and Deployment

Integrate ML/AI models into production environments (Azure, AWS, on-prem)
Optimize models for latency, cost, and reliability
Implement CI/CD pipelines for ML lifecycle (MLOps)
Manage versioning of models, prompts, and datasets

Prompt Engineering and LLM Systems

Design, test, and refine prompts and system instructions
Build RAG (Retrieval-Augmented Generation) pipelines using structured/unstructured data
Evaluate LLM outputs for accuracy, hallucination, and relevance
Implement guardrails and safety mechanisms

Product Thinking and Stakeholder Alignment

Collaborate with product leads, business stakeholders, and domain experts
Convert requirements into technical designs and product features
Prioritize features based on business impact and feasibility
Develop POCs and MVPs to prove initial business value

Data Engineering and Pipeline Development

Build and maintain data ingestion and preprocessing pipelines
Ensure data quality, consistency, and availability for AI systems
Work with structured (SQL), semi-structured, and unstructured datasets
Enable real-time or batch inference workflows

Evaluation, Monitoring and Observability

Define metrics for AI performance (accuracy, latency, user satisfaction)
Implement monitoring for:
Model drift
Prompt degradation
System failures
Build feedback loops to continuously improve AI systems

Experimentation and Continuous Improvement

Run A/B tests and controlled experiments on AI features
Evaluate alternative models, prompts, and architectures
Iterate rapidly based on user feedback

Security, Compliance and Responsible AI

Ensure AI systems comply with data privacy regulations and internal governance
Implement:
Access controls
Data masking/anonymization
Audit trails
Address bias, fairness, and explainability in AI outputs

Documentation and Knowledge Sharing

Document system architecture, APIs, prompts, and pipelines
Create runbooks for deployment and troubleshooting
Share best practices across engineering and data teams

Knowledge and Skills

Recommendations to various stakeholders

Responsible for leading, partnering, transforming and delivering digital workplace services.

Drives the effective management of the team financials (where applicable) to ensure efficient employee experience costs against operational budgets as well as value for money services.

Provides operations management and manages service availability of the various technologies that enable the digital workspace.

Project Management

Personal Attributes

Balances stakeholders - Contributing through others

Tech savvy - Contributing through others

Business insight - Contributing through others

Plans and aligns - Contributing through others

Build a successful career with us

We’re all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth. Through its five business clusters – Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development.

Core Competencies

Being resilient - Contributing through others

Collaborates - Contributing through others

Cultivates innovation - Contributing through others

Customer focus - Contributing through others

Drives results - Contributing through others

Turnaround time

The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers. Deadline to apply: 12 June 2026.

Our commitment to transformation

At MiWay we believe in cultivating a positive and dynamic working environment that gives you freedom and opportunity to succeed. MiWay is committed to transformation and embracing diversity. This is what drives us to achieve a multicultural workplace with employment equity as a key goal to create an inclusive workforce, reflective of the demographics of our society.

Apply Now

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ml engineer jobs in gauteng

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