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Chase · 1 month ago

Lead Applied AI ML Data Scientist

545 Washington Blvd, Jersey City, NJ, 07310, US

Full-time

Onsite

Senior Level, Lead/Staff

$164K/yr - $260K/yr

7+ years exp

Chase is a prominent financial institution seeking a Lead Applied AI ML Data Scientist within their Commercial & Investment Bank's Global Banking team. The role involves leveraging technical expertise and leadership to support AI innovation, mentor team members, and collaborate on strategic roadmaps for AI/ML projects.

BankingFinancial Services

Responsibilities

Lead a local AI/ML team with accountability and engagement into a global organization

Mentor and guide team members, fostering an inclusive culture with a growth mindset

Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation

Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery

Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders

Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints

Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution

Mentor junior team members delivering successful projects and building successful career in the firm

Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements

Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability

Qualification

AI/ML expertiseMachine Learning frameworksLeadership abilitiesLarge Language ModelsNatural Language ProcessingData structuresProgramming knowledgeTeam-building skillsEffective communicationNegotiation skills

Required

Masters with 7+ years experience or PhD with 3+ years of experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience

Track record of managing AI/ML or software development teams

Experience as a hands-on practitioner developing production AI/ML solutions

Knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses

Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis

Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics

Must have good knowledge on agentic patterns and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc

Strong understanding of AI implementation in software development and legacy code transformation

Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, AI evaluation, RAG (Similarity Search)

Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn

Programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy etc

Preferred

Familiarity in AWS Cloud services such as EMR, Sagemaker etc

Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team

Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership