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.

What you'll do:

• 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

Your Expertise:

• 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

Qualifications:

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

Skills:

• 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 env
  
  https://www.executiveplacements.com/Jobs/M/Machine-Learning-Engineer-1273969-Job-Search-03-20-2026-07-00-15-AM.asp?sid=gumtree