Machine Learning Research Engineer

You will prototype, build, and implement new approaches to AI problems. You will evaluate their quality, efficiency, and feasibility against other techniques using data. Depending on your experience, you may apply modern machine learning methods and contribute relevant academic expertise.

Responsibilities

• Prototype, build, and implement new approaches to AI problems
• Evaluate output quality, efficiency, and feasibility using data

Requirements

• Strong analytical skills
• Data science skills, including large dataset handling, modelling, and evaluation
• Understanding of software engineering concepts for machine learning development
• Experience with PyTorch, TensorFlow, and Scikit-learn
• Master’s degree or postgraduate qualification from a Top 200 Global University, preferably in a technical subject