Leadership and Strategy: Lead a team of ML-DataOps engineers to enhance our AI-powered service workflows. Drive and execute the technical vision and strategy, ensuring alignment with the company’s broader goals.
Product Development and Management: Collaborate with product teams and external partners to identify high-value ML-DataOps projects. Oversee the roadmap planning, scoping, implementation, and delivery of ML-DataOps solutions that enable faster iteration, better comparisons, more performant serving of our AI models.
Team Development and Operations: Mentor and support your team in their professional development. Foster a collaborative, safe, and growth-oriented environment. Define and implement effective working methodologies to achieve high-impact results.
Hiring and Resource Planning: Work closely with recruitment to expand the team, ensuring alignment with strategic objectives.
Continuous Improvement: Regularly propose and implement improvements across all aspects of the technology stack and operational processes.
Design, architect and maintain generally available ML-DataOps tools that support rapid iterations and scalable solutions.
Enhance the development experience for ML research engineers through improved DevEx on our platforms.
Navigate and contribute to the evolving landscape of cloud-native ML frameworks and tools.
Requirements & Skills:
Experience: At least 6 years in software development with a focus on backend, data, and machine learning, including 3+ years in a leadership role.
Technical Skills: Proficiency in an ML-DataOps platform (e.g. MLflow, ClearML etc.), AWS, Kubernetes, Python, PyTorch, and familiarity with CI/CD, cloud concepts.
Soft Skills: Strong communication, collaboration, and people management skills. Proactive, well-organized, and capable of driving projects autonomously.
Education: Bachelor’s degree in Computer Science or a related field.
Location: Based in Europe (UTC-1 to UTC+3), willing to join company events 4 times a year.
Experience in medical AI or similar regulated fields.
