United States onlyThis 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
• 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 similar
- At least three years of post-doctoral experience delivering ML projects in industry
- Fluency in Python plus solid knowledge of Java, Scala or C++
- Hands-on expertise with deep learning, classical ML and generative models
- Strong grasp of MLOps, containerisation, microservices and cloud-native architectures
- Excellent communication in English, written and spoken
Desirable
- Publications or patents in applied AI
- Experience with time-series forecasting, reinforcement learning or NLP at scale
- Familiarity with data privacy frameworks in the EU and USA
Benefits
- Direct impact on flagship client projects in finance, retail and healthtech
- High-end hardware and training budget for continuous learning
- Flexible location and working hours
- Competitive daily rate or permanent package scaled to expertise
Poland
