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ML and GenAI Engineer (senior associate) - JPMorgan Private Bank

AT JPMorgan Chase
JPMorgan Chase

ML and GenAI Engineer (senior associate) - JPMorgan Private Bank

Jersey City, NJ

JPMC is hiring the best talents to join the growing Asset and Wealth Management AI Engineering team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for a curious, hard-working and innovative ML Engineer who is excited about the opportunity.

As a ML and GenAI Engineer (Senior Associate), , you will play a key role as an experienced member of our global team. Your responsibilities will include addressing business problems through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure.

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You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you're already embracing leading-edge technologies and methodologies; your example encourages others to follow suit.

Job Responsibilities

  • Responsible for setting direction, development, and implementation of lighthouse ML-driven solutions
  • Collaborate across JPMorgan AWM's lines of business and functions to accelerate adoption of common AI capabilities
  • Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
  • Deploy solutions into public cloud infrastructure
  • Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact

Required qualifications, capabilities, and skills

  • BS degree or MS in Computer Science, Statistics, Mathematics or Machine Learning.
  • Minimum 5 years development experience including Data Science/Machine Learning Engineering
  • Solid Python programming skills required; with other high-performance language such as Go a big plus
  • Full-stack experience, including JavaScript frameworks such as React, would be highly valuable
  • Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes.
  • Experience in using GenAI (OpenAI or other models ) to solve business problem.
  • Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)
  • Expertise in application, data, and infrastructure architecture disciplines
  • Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
  • Excellent communication skills and ability to communicate with senior technical and business partners

Preferred qualifications, capabilities, and skills

  • Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
  • Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn, as well as LLM frameworks, such as Langchain, Langgraph, etc
  • Understanding of finance or wealth management businesses is an added advantage


ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Client-provided location(s): Jersey City, NJ, USA
Job ID: JPMorgan-210580544
Employment Type: Full Time