Machine Learning Engineer

Mind Detect Ltd.; Cape Town; Hybrid; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Generous equity

Early-stage startup

Generous leave

Job summary

Mind Detect Ltd. in Cape Town is seeking a Machine Learning Engineer to join its data & ML team. The role is hybrid, offering the chance to bridge cutting-edge ML research with scalable production systems.

You will deploy and optimize models, build MLOps pipelines, and collaborate with researchers to productionise novel architectures while enjoying generous equity and the pace of a start-up.

Qualifications

• Bachelor's degree in Computer Science, ML, Data Science, AI, Software Engineering, EE, Mathematics or related field from a top-tier university.
• 3–5+ years of experience in ML engineering or related roles.
• Strong knowledge of PyTorch and deep learning fundamentals.
• Experience with ONNX, TensorRT, or model quantisation.
• Strong software engineering skills (Python, testing, CI/CD).
• Familiarity with distributed training and serving infrastructure.

Responsibilities

• Deploy and optimize ML models for production serving.
• Build robust MLOps pipelines for training, evaluation, and deployment.
• Optimize CUDA kernels and model inference for latency-critical applications.
• Implement micro-batching, caching, and quantisation strategies.
• Collaborate with researchers to productionise novel architectures.

Skills

PyTorch

Deep learning

Python

CI/CD

Testing

Distributed training

Education

Bachelor's degree in Computer Science or related field

Tools

ONNX

TensorRT

Model quantisation

Job description

Our cutting-edge client, building the AI infrastructure layer for modern e-commerce, is searching for a Machine Learning Engineer to join their world-class data & ML team in Cape Town (hybrid).

We’re searching for bright minds to help bring novel zero-shot discovery models from research to production. You'll bridge the gap between cutting-edge ML research and scalable, reliable systems.

Responsibilities

• Deploy and optimize ML models for production serving.
• Build robust MLOps pipelines for training, evaluation, and deployment.
• Optimize CUDA kernels and model inference for latency-critical applications.
• Implement micro-batching, caching, and quantisation strategies.
• Collaborate with researchers to productionise novel architectures.

Qualifications

• Minimum Bachelor’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Software Engineering, Electrical Engineering, Mathematics or a related field, from a top-tier university
• 3-5+ years of experience in ML engineering or related roles.
• Deep knowledge of PyTorch and deep learning fundamentals.
• Experience with ONNX, TensorRT, or model quantisation.
• Strong software engineering skills (Python, testing, CI/CD).
• Familiarity with distributed training and serving infrastructure.
• Generous equity in the business
• An opportunity to join an early-stage start-up
• Great opportunity to make a large technological impact on the product and its systems
• Complex challenges with fast feedback loops
• Generous leave/solid work-life balance
• Great remuneration package
• Advanced equipment/technology

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This position is open to people already eligible for work in South Africa

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