Senior Machine Learning Engineer

Lead the design, development, and deployment of production-grade machine learning models addressing complex real-world problems.
Architect and maintain end-to-end data pipelines to support scalable production systems, including ingestion, transformation, and validation.
Translate business problems into robust ML solutions, bringing algorithms into production and monitoring models in live environments.
Collaborate cross-functionally with data engineers, data scientists, and software engineers to ensure reliable data design, tooling, and deployment practices.
Drive rapid iteration and experimentation with a focus on reliability, performance, and scalability in a fast-paced environment; self-starter with ambiguity-to-result capability.
Requires 5+ years of ML model development, data pipelines, relational databases, Python and SQL, ETL, AWS, distributed systems, and production maintenance.