Machine Learning Engineer

JOB SUMMARY The ML Engineer II will design and develop ML models that deliver accurate results to solve identified business problems using state-of-the-art techniques, under the guidance of Senior ML Engineers. This role involves collaborating with cross-functional teams to build valuable ML solutions for products. Key Responsibilities • Work with cross-functional teams (business, technology, product) to understand product vision and build ML solutions that bring value to the product. • Execute data wrangling activities to create viable datasets for ML problems. • Conduct ML experiments to assess feasibility and build baseline models. • Fine-tune baseline models for optimum performance. • Test models internally against business acceptance criteria. • Identify areas and techniques for model optimization based on test results. • Document relevant artifacts for business communication. • Collaborate with data scientists on model deployment. • Work with product teams in planning and execution of new product releases. • Set OKRs and success steps, and provide feedback on goals for team members. Required Qualifications • Ability to design and develop ML models to solve business problems using state-of-the-art techniques under guidance. • Experience working with cross-functional teams including business, technology, and product. • Proficiency in data wrangling activities to create viable datasets. • Experience conducting ML experiments to understand feasibility and build baseline models. • Experience fine-tuning models for optimum performance. • Experience testing models internally per acceptance criteria. • Ability to identify areas and techniques for model optimization. • Experience documenting relevant artifacts for business communication. • Experience collaborating with data scientists for model deployment. • Experience working with product teams in planning and execution. • Experience setting OKRs and success steps, and providing feedback on team goals.