Deep Learning Pipelines Engineer — ML & MLOps
Posted 1
view
Summary
Designs and optimizes deep learning pipelines powering AI applications, owning the end-to-end ML model lifecycle from data prep to deployment while collaborating with researchers and software engineers. Core stack: Python, TensorFlow/PyTorch/JAX, MLOps, and cloud services.
Placements24 in Stellenbosch, Western Cape, is seeking a skilled Machine Learning Engineer to design and optimize robust deep learning pipelines powering state-of-the-art AI applications. You will own the end-to-end lifecycle of ML models from data prep to deployment, collaborating with researchers and software engineers.
The ideal candidate has 2–4 years in ML engineering, strong Python, experience with TensorFlow/PyTorch/JAX, and hands-on MLOps and cloud services.