Senior ML Engineer – Lead AI & MLOps in Cape Town

Mind Detect Ltd.

Cape Town

On-site

ZAR 450,000 - 800,000

Full time

2 days ago
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Benefits offered by this job

Performance-based bonuses
Medical aid
Retirement fund
Professional development budget
Conference opportunities
Collaborative environment
Work-life balance
On-site amenities

Job summary

WhatJobs Direct in Cape Town, Western Cape, is seeking a Lead Machine Learning Engineer to head the design, development, and deployment of advanced ML models and AI-driven solutions. You will guide a team of engineers and data scientists, shaping our AI roadmap and ensuring integration into products and operations.

The role demands strategic thinking, hands-on expertise, and the ability to translate business needs into actionable ML strategies, with a focus on responsible AI and cutting-edge

Qualifications

  • Master's or Ph.D. in Computer Science, AI, Statistics, or related field.
  • Extensive experience in developing and deploying production ML models.
  • Proficiency in Python and core ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras).
  • Strong understanding of ML algorithms (supervised, unsupervised, reinforcement).
  • Experience with MLOps tools and practices (MLflow, Kubeflow, Docker, Kubernetes).
  • Proven experience in leading technical teams and managing complex projects.
  • Excellent data manipulation and analysis skills.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and ML services.
  • Strong communication, interpersonal, and presentation skills.
  • Ability to translate business requirements into actionable ML strategies.

Responsibilities

  • Lead end-to-end development lifecycle of ML models from data prep to deployment.
  • Design and implement robust MLOps pipelines for CI/CD and monitoring in production.
  • Mentor and guide a team of ML engineers and data scientists.
  • Collaborate with product, engineering, and business units to identify AI opportunities.
  • Research latest ML advances and translate into innovative solutions.
  • Develop and maintain scalable ML infrastructure and platforms.
  • Ensure ethical and responsible development and deployment of AI systems.
  • Conduct rigorous testing and validation of models for accuracy and reliability.
  • Present findings and recommendations to technical and non-technical audiences.
  • Champion best practices in ML development, reproducibility, and documentation.

Skills

Python
Data analysis
Leadership
Team management
Communication
MLOps
Cloud services
Model deployment
PyTorch/TensorFlow

Education

Master's or Ph.D. in Computer Science/AI/Statistics

Tools

TensorFlow
PyTorch
Scikit-learn
Keras
Docker
Kubernetes
MLflow
Kubeflow

Job description

WhatJobs Direct in Cape Town, Western Cape, is seeking a Lead Machine Learning Engineer to head the design, development, and deployment of advanced ML models and AI-driven solutions. You will guide a team of engineers and data scientists, shaping our AI roadmap and ensuring integration into products and operations.

The role demands strategic thinking, hands-on expertise, and the ability to translate business needs into actionable ML strategies, with a focus on responsible AI and cutting-edge

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