ML Engineer

we are looking for a ML Engineer.As a Senior ML Infrastructure Engineer, you will design and build the infrastructure that powers our ML and LLM systems in production. You will develop scalable pipelines, systems, and tools that enable data scientists and AI teams to efficiently develop, test, and deploy models.Working closely with data scientists, engineers, and product teams, you will ensure our ML capabilities are reliable, scalable, and production-ready-helping bring cutting-edge AI to improve mental health care.This is a unique opportunity to join a startup with a real impact on thousands of peoples wellbeing and mental health, applying cutting-edge AI technologies to solve meaningful human problems.Requirements: 5+ years of industry experience in ML Infrastructure, Backend Engineering, or related fieldsStrong Python experience with production-grade systemsExperience working with cloud platforms (AWS, GCP, or Azure)Experience with containerization technologies (Docker, Kubernetes)Experience building CI/CD pipelines for ML systems or backend servicesExperience supporting LLM deployment or ML models in productionFamiliarity with model versioning, experiment tracking, and ML toolingSome nice to haves are:Experience with prompt engineering and prompt managementExperience with data versioning tools (DVC, Pachyderm, etc.)Experience with MLOps platforms (MLflow, Kubeflow, etc.)This position is open to all candidates.