Sr Machine Learning Engineer

Lead end-to-end development and operationalization of machine learning solutions. Develop and optimize ML models for diverse applications; preprocess and analyze large datasets to extract actionable insights; deploy ML models into production using established tools and frameworks; collaborate with data scientists, software engineers, and product teams to integrate models into products and services; monitor, evaluate, and iterate on model performance; design scalable ML pipelines and ensure data quality. Explore AI or agentic systems, including LLM-based agents or multi-agent workflows, and operationalize these capabilities within data/ML solutions. This role offers a hybrid work model with in-office presence and remote days.