Machine Learning Engineer

Machine Learning Engineer

Our client is a well-funded, fast-growing automotive software company. Its technology is already in production with major automotive manufacturers across a large global fleet. You'll join an experienced ML team as a Machine Learning Engineer, leading work on edge AI that monitors vehicle health and predicts failures in real time. Your models will run on vehicles on the road today and make fleets more reliable.

Responsibilities:

• You will build and train AI models to process application logs, multi-modalities, etc
• Optimise PyTorch and TensorFlow models into production-grade for execution on CPU and GPU targets embedded on NPUs
• Build and maintain data pipelines to collect, clean and prepare training data
• Set up MLOps practices, including automated training, CI/CD, monitoring and retraining

Skills required:

• Strong Python skills and experience with frameworks such as PyTorch, TensorFlow or scikit-learn
• Experience with a cloud platform (AWS, Azure or GCP)
• A good grasp of MLOps tools and practices (e.g. MLflow, Docker, Kubernetes, CI/CD)
• Nice to have: experience with LLMs, NLP, computer vision or real-time systems

If you are interested, apply below or contact Ashton at Reperio Human Capital

Reperio Human Capital acts as an Employment Agency and an Employment Business.