MACHINE LEARNING ENGINEER

Accountabilities • Design, develop, and maintain production-ready machine learning systems supporting advanced AI-powered products. • Own the complete machine learning lifecycle, including data preparation, model training, evaluation, deployment, inference, monitoring, and continuous improvement. • Translate research concepts into scalable, reliable production solutions that meet business and technical objectives. • Investigate, troubleshoot, and resolve model performance issues and production incidents using real-world data and operational insights. • Continuously optimize machine learning models for accuracy, latency, scalability, reliability, efficiency, and operational cost. • Collaborate closely with cross-functional teams to integrate machine learning capabilities into production products. • Mentor other machine learning engineers through technical guidance, code reviews, and knowledge sharing. • Build and maintain robust training, inference, and data pipelines while ensuring system stability under production constraints. Requirements • Proven experience designing, developing, and deploying machine learning systems used in production environments. • Strong expertise in Python and deep learning frameworks such as PyTorch and/or JAX. • Hands-on experience with GPU-based training and inference systems, including performance optimization and large-scale model deployment. • Solid understanding of modern machine learning models, their behavior in production, and strategies for identifying and resolving failure modes. • Experience writing clean, maintainable, and production-quality software with a systems-oriented engineering mindset. • Ability to independently manage projects from concept through deployment while balancing speed, quality, and reliability. • Strong analytical and problem-solving skills with an iterative, data-driven approach to improving machine learning performance. • Excellent communication and collaboration skills, with experience working alongside research, engineering, and product teams. • Previous mentoring or technical leadership experience is considered an advantage. Benefits • Fully remote full-time position with the flexibility to work from Europe. • Opportunity to work on innovative AI products solving complex real-world challenges. • High level of ownership and autonomy in a technically ambitious environment. • Collaboration with a highly skilled, multidisciplinary team focused on engineering excellence. • Exposure to cutting-edge machine learning technologies and large-scale AI systems. • Transparent and efficient recruitment process with timely communication throughout. • Strong opportunities for professional development and long-term career growth. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1