Machine Learning Engineer, GenAI/ML - Vice President
About the role
Join a dynamic and diverse team that engineers large-scale, complex, and resilient technology solutions that drive our global business. As a Machine Learning Engineer, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.
Responsibilities
- Lead the design, development, and deployment of generative AI solutions, ensuring alignment with business objectives and technical requirements.
- Demonstrate deep expertise in generative AI technologies, contributing to the development of POCs and evaluating new methodologies to enhance AI capabilities.
- Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch.
- Ensure the delivery of secure, high-quality production code.
- Utilize experience with React or Angular to create intuitive user interfaces for AI applications.
- Conduct thorough code reviews to maintain high standards of code quality.
- Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects.
- Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems.
- Actively participate in communities of practice to promote the adoption and awareness of new generative AI technologies, fostering a culture of continuous innovation.
Requirements
- Minimum 7+ years of strong proficiency in Python or Java, with the ability to architect and build complex AI models from scratch.
- Two years of experience in generative AI development and prompt engineering.
- Proven experience in system design, application development, testing, and operational stability in AI projects.
- Minimum 5+ years of strong experience with React or Angular.
- Minimum 2+ years of AWS experience.
- Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.
- Experience with LLM models and agentic tools.
Qualifications
- Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions.
- Familiarity with data engineering practices to support AI model training and deployment.
- Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.
- Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.
About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do.
Benefits
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers.