ML Engineer — Production ML & MLOps, Hybrid (Cape Town)

Mind Detect Ltd.; Cape Town; Hybrid; ZAR 900.000 - 1.500.000; Vollzeit

Benefits dieser Stelle

Equity

Early-stage startup

Impactful work

Generous leave

Remuneration package

Advanced equipment

Zusammenfassung

Mind Detect Ltd. in Cape Town is seeking a Machine Learning Engineer to join our world-class data & ML team on a hybrid basis. You will bridge research and production, deploying models and building scalable ML systems.

You will work with PyTorch, ONNX/TensorRT, and CUDA optimizations, delivering robust MLOps pipelines, micro-batching, and model quantisation. The role demands 3-5+ years of experience and strong software engineering skills.

Qualifikationen

• Bachelor’s degree in a relevant field from a top-tier university.
• 3-5+ years of ML engineering experience.
• 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.

Aufgaben

• 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-sensitive applications.
• Implement micro-batching, caching, and quantisation strategies.
• Collaborate with researchers to productionise novel architectures.

Kenntnisse

PyTorch

Python

Distributed training

MLOps

CI/CD

Ausbildung

Bachelor’s degree in Computer Science / ML / DS / AI / Software Eng

Tools

ONNX

TensorRT

Jobbeschreibung

Mind Detect Ltd. in Cape Town is seeking a Machine Learning Engineer to join our world-class data & ML team on a hybrid basis. You will bridge research and production, deploying models and building scalable ML systems.

You will work with PyTorch, ONNX/TensorRT, and CUDA optimizations, delivering robust MLOps pipelines, micro-batching, and model quantisation. The role demands 3-5+ years of experience and strong software engineering skills.