You will join a collaborative Data Science team that builds secure, stable, and scalable AI/ML solutions. You will work with partners across technology and the business to turn ideas into production-ready capabilities that drive measurable outcomes.
As a Applied AI ML Senior Associate at JPMorgan Chase within COGT, you serve as a seasoned member of Data Science team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various corporate technology business functions in support of the firm's business objectives.
Job Responsibilities
- Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using AIML, Agentic/GenAI frameworks in a fast-paced environment.
- Hands on experience in working on LLMs and agentic frameworks, such as Langchain/LangGraph and similar technologies.
- Developing AI/ML and Gen AI/ Agentic AI solutions to address impactful business needs.
- Hands on experience in all machine learning techniques, supervised, unsupervised, and semi-supervised techniques.
- Strong experience in natural language processing (NLP) and its applications.
- Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
- Working with other team members to productionize end-to-end AI/ML solutions.
- Engaging in research and development of innovative relevant solutions.
- Coaching and mentoring other AI/ML team members towards both personal and professional success
- Collaborating with other teams across the firm to attain the mission and vision of the team and the firm. Engaging with stakeholders and understanding business requirements.
- Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without escalation.
Required Qualifications, Capabilities, and Skills
- Advanced degree in Computer Science, Data Science, Mathematics, or a related field.
- 5+ years of applied experience in data science, machine learning, or related areas.
- Strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data.
- Experience LLM Orchestration and Agentic AI libraries
- Proficiency in using GenAI models (OpenAI or similar) to solve business problems.
- Experience in building AI Agents, Agentic frameworks.
- Experience in building and managing data lakes and data processing workflows using Databricks.
- Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.
- Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders.
- Strong troubleshooting and problem-solving skills.
- Fast learner with the ability to quickly develop Proof of Concepts and advance them to production.
Preferred Qualifications, Capabilities, and Skills
- Understanding of AWS component.
- Experience integrating AI/ML models into data pipelines is a plus.
- Experience with version control (Git) and CI/CD pipelines.
- Experience in PySpark is a plus.
- Financial service background
About Us
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
Skills Required
- Advanced degree in Computer Science, Data Science, Mathematics, or related field.
- 5+ years of applied experience in data science, machine learning, or related areas.
- Strong programming skills in Python.
- Experience with PySpark and Spark SQL.
- Experience with LLM orchestration and Agentic AI libraries (e.g., Langchain, LangGraph).
- Proficiency using GenAI models (OpenAI or similar) to solve business problems.
- Experience building AI agents and agentic frameworks.
- Experience building and managing data lakes and data processing workflows using Databricks.
- Experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn.
- Strong experience in natural language processing (NLP) and its applications.
- Ability to leverage AI agents and tools (e.g., Co-Pilot) to enhance productivity and code quality.
- Experience integrating AI/ML models into data pipelines.
- Understanding of AWS components.
- Experience with version control (Git) and CI/CD pipelines.
- Financial services background.
- Coaching and mentoring other AI/ML team members.
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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