Lead Applied AI and Machine Learning Engineer

Applied AI ML Lead

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible

As an Applied AI/ML Engineer at JPMorgan Chase within the Global Banking Technology team, you will tackle complex business problems and apply algorithms to design, evaluate, and implement AI/ML applications or models. You will leverage the company's data assets using tools like Python, Spark, and AWS. Additionally, you will extract business insights from technical results and communicate them effectively to a non-technical audience.

Job Responsibilities:

• Contribute to platform engineering to support the Gen AI platform and develop Gen AI use cases.
• Assist in building machine learning pipelines using Generative AI models on AWS.
• Apply best practices in software engineering, MLOps, and data governance.
• Participate in code check-ins every sprint to support continuous integration and development.
• Ensure AI/ML solutions adhere to data privacy and security regulations.
• Communicate technical concepts and solutions across various organizational levels.
• Engage in the model development process, including data wrangling, analysis, model training, testing, and selection.
• Present insights from data analysis and modeling exercises to diverse audiences.
• Collaborate with engineers to build and deploy solutions for business requirements.
• Develop an understanding of key business problems and processes.
• Work with the OpenAI API, including prompt engineering and vector databases.

Required Qualifications, Capabilities, and Skills:

• Proficiency in Python with familiarity in both LLM Agent orchestration frameworks (e.g., Lang Graph, Langchain) and general machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience in data wrangling, including cleaning and reshaping complex datasets using Python.
• Practical experience with supervised and unsupervised ML projects.
• Understanding of software engineering, AI/ML, MLOps, and data governance.
• Experience with AWS cloud services, including ECS, S3, Lambda, and SageMaker.
• Basic NLP skills, including tokenization and sentiment analysis.
• Experience in anomaly detection techniques and applications, with familiarity with LLM telemetry tools like Phoenix or Deepeval.
• Problem-solving, communication, and teamwork skills.
• Ability to work collaboratively with cross-functional teams.

Preferred Qualifications, Capabilities, and Skills:

• Experience with big data frameworks, such as Databricks.
• Familiarity with databases,  like MySQL, Aurora PostgreSQL, etc.
• Experience with version control systems like GitHub.
• Exposure to graph analytics and neural networks.
• Experience working with engineering teams to operationalize machine learning models.

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 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.

Experience Level

Senior Level