Machine Learning Engineer

📋 Description

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

🎯 Requirements

• Experience designing, developing, and deploying ML systems in production.
• Strong Python skills and PyTorch and/or JAX.
• Hands-on GPU training/inference with large-scale deployment.
• Production-quality software with a systems mindset.
• Independent end-to-end project ownership from concept to deployment.
• Strong analytical, problem-solving, and cross-functional collaboration.

🎁 Benefits

• Fully remote full-time with flexibility to work from Europe.
• Work on innovative AI products solving real-world challenges.
• High ownership and autonomy in a technically ambitious environment.
• Collaboration with a multidisciplinary team focused on engineering excellence.
• Exposure to cutting-edge ML technologies and large-scale AI systems.
• Strong opportunities for professional development and long-term career growth.