Machine Learning Engineer

We are seeking a Machine Learning Engineer (Mid-Senior Level) to design, build, and deploy scalable machine learning solutions. This role is suited for someone who is hands on technically but also starting to take on ownership, solution design, and mentoring responsibilities within the team.

• Design, develop, and deploy machine learning models in production environments
• Translate business requirements into scalable ML solutions and architectures
• Collaborate with data scientists and engineers to productionise models
• Build and maintain data pipelines and feature engineering workflows
• Integrate ML solutions into applications using APIs and microservices
• Monitor, evaluate, and optimise model performance over time
• Work within cloud environments to deploy and scale ML systems
• Contribute to solution design decisions and technical improvements
• Provide guidance or support to junior team members where required

• 3-5 years' experience in a Machine Learning Engineer role
• Strong proficiency in Python (or similar ML focused languages)
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit learn
• Solid understanding of machine learning algorithms, model evaluation, and optimisation
• Experience with data preprocessing, feature engineering, and pipeline development
• Hands on experience with cloud platforms (AWS, Azure, or GCP)
• Experience deploying models using APIs, containers (Docker), or microservices
• Knowledge of SQL and working with large datasets
• Familiarity with version control (Git) and CI/CD pipelines
• Ability to contribute to solution design and architecture decisions
• Exposure to MLOps practices (model lifecycle, monitoring, deployment pipelines)
• Ability to work more independently and take ownership of deliverables
• Mentoring or supporting junior engineers
• Understanding of trade offs between different ML approaches and tools
• Experience with MLOps tools and frameworks
• Exposure to big data technologies (e.g., Spark, Kafka)
• Familiarity with Generative AI / LLMs
• Experience working in Agile/Scrum environments

• NQF Level 6 or higher tertiary qualification in Information Communication Technology (ICT), including (but not limited to) Information Systems
  • Relevant Cloud certification (AWS, Azure, or GCP preferred)

• Strong analytical and problem solving ability
• Effective communication with both technical and non technical stakeholders
• Collaborative mindset with the ability to work across teams
• Proactive and self driven approach
• Ability to manage multiple priorities in a fast paced environment