Machine Learning Engineer
This is a remote position.
Madiff delivers high-impact AI solutions to Fortune 500 clients and fast-growing start-ups. We need a PhD-level Machine Learning Engineer who can move fast from research to production across multiple tech stacks.
Key responsibilities :
- Research and design advanced machine learning models that solve real customer problems
- Prototype, test and optimise models in Python using TensorFlow, PyTorch and scikit-learn
- Deploy and monitor solutions on AWS, Azure or GCP with CI / CD and IaC tools
- Work with data engineers to build robust data pipelines and feature stores
- Translate complex findings into clear business recommendations for stakeholders
- Coach client teams and Madiff consultants on best ML practices
- Contribute to technical pre-sales and proposal work when required
Requirements :
PhD in Machine Learning, Computer Science, Mathematics or similarAt least three years of post-doctoral experience delivering ML projects in industryFluency in Python plus solid knowledge of Java, Scala or C++Hands-on expertise with deep learning, classical ML and generative modelsStrong grasp of MLOps, containerisation, microservices and cloud-native architecturesExcellent communication in English, written and spokenDesirable :
Publications or patents in applied AIExperience with time-series forecasting, reinforcement learning or NLP at scaleFamiliarity with data privacy frameworks in the EU and USABenefits :
Direct impact on flagship client projects in finance, retail and healthtechHigh-end hardware and training budget for continuous learningFlexible location and working hoursCompetitive daily rate or permanent package scaled to expertise