The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the adoption of advanced AI/ML technologies across the firm. Bring your expertise to take part in this exciting mission, utilizing your strong and insightful technical and people skills. We look, first and foremost, for people who are passionate about solving business problems through informed strategic vision, creative innovation, and modern ML architecture & engineering practices, leveraging our purpose-built Machine Learning platforms and/or commercial AI/ML platforms and related technologies.
As a Machine Learning Engineer at JPMorgan Chase within the AI/ML Solution Engineering Group, you will be presented with numerous opportunities to utilize your extensive knowledge and expertise across all aspects of the machine learning lifecycle. Our work environment promotes collaboration, trust, and thought-provoking discussions, fostering diversity of thought and innovative solutions that serve the best interests of our global customers.
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Job 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.
Required qualifications, capabilities, and skills
- 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.
Preferred qualifications, capabilities, and skills
- Experience with Azure OpenAI or similar LLM APIs would be a plus.
- Experience with Azure would be plus
- Working experience with big data, data lakes/data mesh/lake house architectures, and ML data engineering processes, tools & techniques would be a plus.
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
The Chief Technology Office oversees enabling components inclusive of the top quality engineering and architecture tools and practices, key program management and processes as well as the technology workforce strategy required to make us a leading technology company for our customers, clients and colleagues around the world.
High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.