Machine Learning Engineer - Vice President

JPMorgan Chase - Jersey City, NJ

Full-time - Senior

Jersey City, NJ

Credit Intermediation and Related Activities

About the position

The Machine Learning Engineer - Vice President role at JPMorgan Chase is focused on advancing the adoption of AI and machine learning technologies within the firm. This position requires a blend of technical expertise and strong interpersonal skills to solve complex business problems through innovative machine learning solutions. The role involves working within the AI/ML Solution Engineering Group, where the engineer will engage in all aspects of the machine learning lifecycle, from design to deployment, in a collaborative and diverse work environment.

Responsibilities

• Design and develop machine learning systems.
• Select appropriate datasets and data representation methods to preprocess and engineer features.
• Research and implement appropriate machine learning algorithms and tools.
• Design, implement, and support tools and workflows to facilitate machine learning experiments, tests, and production deployments.
• Transform and convert data science prototypes into machine learning model deployments.
• Develop machine learning applications according to business analytical requirements.

Requirements

• 7+ years of applied ML engineering experience and Bachelor's degree in computer science, information systems, or electrical engineering, or equivalent.
• Good understanding of core algorithms, deep neural networks, and LLMs/SLMs.
• Experience with NLP and the relevant frameworks and libraries.
• Knowledge of software development processes for machine learning systems with hands-on experience with data/feature engineering, training, orchestration, model deployment/serving, model monitoring, and governance utilizing modern ML frameworks, libraries, and tools.
• Experience with public cloud technologies, specifically with AWS, and automation processes and tools such as IaC, and CI/CD pipelines.

Nice-to-haves

• Experience with Azure OpenAI or similar LLM APIs would be a plus.
• Experience with Azure would be a plus.
• Working experience with big data, data lakes/data mesh/lake house architectures, and ML data engineering processes, tools & techniques would be a plus.