ML Engineer

ML Engineer (End-to-End Ownership)We’re hiring a hands-on AI/ML Engineer to own the full lifecycle of machine learning systems—from raw data to production-ready outputs. This role is focused on building and connecting the entire pipeline, not just developing models.You’ll take an existing MVP and turn it into a scalable, reliable production system, working across data, models, and infrastructure.What You’ll DoBuild and own end-to-end ML pipelines (data → features → models → deployment)Design systems that integrate multiple models and data sources into a cohesive solutionDeploy and productionize models with a focus on performance, scalability, and reliabilityPartner with product and engineering to translate business needs into working ML systemsWhat We’re Looking ForExperience building and deploying ML systems in productionStrong Python and experience with pipelines, MLOps, and cloud environments (AWS, Snowflake, etc.)Ability to architect and own systems, not just individual componentsComfortable working in fast-moving, less structured environmentsThis is a builder role—ideal for someone who enjoys taking ambiguous problems and turning them into real, production-ready systems with full ownership.