Applied AI ML Associate Senior

Job Description
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Applied AI/ML Engineer/Data Scientist at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities

• Supports review of controls to ensure sufficient protection of enterprise data. Develop and implement AI/ML models and algorithms to solve business problems. Train and evaluate AI/ML models using large datasets.
• Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request. Apply advanced statistical and ML techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets. Optimize and fine-tune AI/ML models for performance and accuracy. Design and develop data pipelines to preprocess and transform data for AI/ML models.
• Updates logical or physical data models based on new use cases
• Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on Data engineering concepts and 3+ years applied experience
• Strong programming skills in Python, with experience in developing and maintaining production-level code.
• Proficiency in working with large datasets and data preprocessing.
• Solid understanding of AI/ML algorithms and techniques, including deep learning, time series forecasting and natural language processing.
• Experience with cloud platforms, such as AWS for deploying and scaling AI/ML models.
• Experience with ETL tools such as Airflow.

Preferred qualifications, capabilities, and skills

• Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript
• Knowledge of SRE practices. Experience working with AWS EKS, ECS, RDS and DynamoDB.
• Knowledge of large language models (LLMs) and accompanying toolsets the LLM ecosystem (e.g. Langchain, Vector databases, opensource Hugging Face Models.
• Exposure to cloud automation technologies such as Terraform

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 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.
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.