Machine Learning Engineer - Senior Associate

JPMorgan Chase is seeking a Machine Learning Engineer to join their team as a Senior Associate. This role is part of their initiative to revolutionize Employee Platforms through AI and Data Science innovations.

As a Machine Learning Engineer, you'll be at the forefront of designing, implementing, and deploying machine learning models that comply with global technology standards and firm governance requirements. You'll work in a collaborative environment alongside machine learning scientists, data scientists, software engineers, and product teams to create scalable AI solutions that drive significant business impact.

The role involves end-to-end machine learning development, from initial design to production deployment and ongoing optimization. You'll be responsible for ensuring models meet compliance requirements while delivering optimal performance. Key responsibilities include model implementation, deployment to production environments, performance tuning, and continuous monitoring.

The ideal candidate should have strong Python programming skills and experience with major ML frameworks like PyTorch, TensorFlow, or Scikit-learn. Knowledge of software engineering best practices, data preprocessing, and cloud platforms (particularly AWS) is essential. You'll be working with cutting-edge technologies while contributing to solutions that transform client experiences and drive industry-leading advancements.

JPMorgan Chase offers a competitive compensation package including base salary, potential commission-based pay, and discretionary incentive compensation. The company provides comprehensive benefits including healthcare, retirement plans, childcare support, and educational assistance. This role presents an excellent opportunity to work with a leading financial institution while advancing your career in machine learning and AI.