ML Infrastructure Engineer at Eleos Health

This role is for a seasoned engineer with over five years of experience who has a deep background in Python and cloud infrastructure. You should have a proven track record of moving machine learning models and large language models from research phases into stable, production environments using Kubernetes and Docker. **What makes it worth a look...** You will be working at the intersection of healthcare and generative AI, building a platform that reduces clinical documentation time by half. It is a rare chance to architect the core ML backbone for a product with direct social impact while working with a high-growth scale-up in Tel Aviv. **You might be a good fit if you...** * Have built production-grade backends or infrastructure using AWS or similar cloud providers. * Can design automated CI/CD pipelines specifically tailored for model training and versioning. * Are comfortable managing LLM deployments and optimizing prompt management workflows. * Want to work on mission-driven technology that helps therapists provide better mental health care.