Machine Learning Engineer

📋 Description

• Design, develop, and maintain production ML systems for AI products.
• Own the full ML lifecycle: data prep, training, eval, deployment, monitoring.
• Translate research into scalable production solutions meeting objectives.
• Investigate, troubleshoot, and resolve production model issues.
• Optimize ML models for accuracy, latency, scalability, and cost.
• Collaborate with cross-functional teams to integrate ML into products.

🎯 Requirements

• Proven experience designing, developing, and deploying ML systems in production.
• Strong expertise in Python and deep learning frameworks such as PyTorch and/or JAX.
• Hands-on experience with GPU-based training and large-scale deployment.
• Solid understanding of modern ML models and production failure modes.
• Experience writing clean, production-ready software with a systems mindset.
• Ability to manage projects end-to-end from concept to deployment.

🎁 Benefits

• Fully remote full-time position with Europe-wide flexibility.
• Opportunity to work on innovative AI products solving real-world challenges.
• Ownership and autonomy in a technically ambitious environment.
• Collaboration with a skilled, multidisciplinary team.
• Exposure to cutting-edge ML technologies and large-scale AI systems.
• Transparent recruitment process with timely communication.