Machine Learning Engineer

📋 Description

• Design, develop, and maintain production-ready ML systems powering AI products.
• Own full ML lifecycle: data prep, training, deployment, inference, and monitoring.
• Translate research into scalable production solutions meeting business goals.
• Investigate and resolve model performance issues using real-world data.
• Optimize models for accuracy, latency, scalability, reliability, and cost.
• Collaborate with cross-functional teams to integrate ML into products.

🎯 Requirements

• Proven experience designing, developing, and deploying ML systems in production.
• Strong Python and deep learning frameworks such as PyTorch and/or JAX.
• Hands-on experience with GPU-based training and inference, including large-scale deployment.
• Understanding of modern ML models in production and failure-mode strategies.
• Experience writing clean, production-quality software with a systems mindset.
• Ability to manage projects from concept through deployment balancing speed and reliability.

🎁 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 growth.