Applied AI/ML Senior Associate

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Health benefits

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase & Co. is seeking an Applied AI/ML Senior Associate within the Corporate Technology-Risk Technology team.

You will design and deliver trusted market-leading technology products in a secure, stable, and scalable way, serving multiple business functions across the firm. The role emphasizes building production Python systems (Flask/FastAPI), ML/NLP workflows, and end-to-end life-cycle from prototyping to deployment, with strong data handling, governance, and CI/CD practices in a

Qualifications

• Formal training or certification in software engineering concepts, plus5+ years of applied experiencebuilding production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow).
• Demonstrated experience taking machine learning modelsfrom prototype to production— training, packaging, deployment, monitoring, retraining, and decommissioning — in real-world business applications.
• Proven experience working withlarge datasets and distributed compute(Spark / Databricks or equivalent), with SQL fluency and an understanding of partitioning, performance, and cost.
• Hands-on practical experience acrosssystem design, application development, testing, and operational stabilityfor services that run on a daily production schedule.
• Experience developing, debugging, and maintaining code in alarge corporate environment, using modern programming languages and database query languages, with disciplined use of version control and code review.
• Working knowledge ofLLM application patterns— prompt design, retrieval-augmented generation (RAG), embeddings and vector search, structured output, and tool/function calling.
• Experience withagentic AI frameworks— multi-agent orchestration, planning and tool use, and integration patterns such as the Model Context Protocol (MCP); familiarity with Google ADK, Arize Phoenix SDK, Claude skills is a must.
• Overall knowledge of theSoftware Development Life Cycle, and a solid understanding of agile delivery practices including CI/CD,Application Resiliency, and Security.

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Skills

Python production systems

ML/NLP ecosystem

Spark/Databricks

SQL fluency

CI/CD and agile

LLM patterns

Agentic AI frameworks

Data visualization/reporting

Production code quality

Security/resiliency

Education

Formal software engineering training

Tools

Flask or FastAPI

Python ML libraries

Job description

Join the risk technology team and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As an Applied AI/ML Senior Associate within JPMorgan Chase's Corporate Technology-Risk Technology team, you will serve as a seasoned member of an agile 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 business functions in support of the firm’s business objectives.

Job Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification in software engineering concepts, plus5+ years of applied experiencebuilding production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow).

• Demonstrated experience taking machine learning modelsfrom prototype to production— training, packaging, deployment, monitoring, retraining, and decommissioning — in real-world business applications.

• Proven experience working withlarge datasets and distributed compute(Spark / Databricks or equivalent), with SQL fluency and an understanding of partitioning, performance, and cost.

• Hands-on practical experience acrosssystem design, application development, testing, and operational stabilityfor services that run on a daily production schedule.

• Experience developing, debugging, and maintaining code in alarge corporate environment, using modern programming languages and database query languages, with disciplined use of version control and code review.

• Working knowledge ofLLM application patterns— prompt design, retrieval-augmented generation (RAG), embeddings and vector search, structured output, and tool/function calling.

• Experience withagentic AI frameworks— multi-agent orchestration, planning and tool use, and integration patterns such as the Model Context Protocol (MCP); familiarity with Google ADK, Arize Phoenix SDK, Claude skills is a must.

• Overall knowledge of theSoftware Development Life Cycle, and a solid understanding of agile delivery practices including CI/CD,Application Resiliency, and Security.

Preferred qualifications, capabilities, and skills

• Production experience withDatabricks(Delta Lake, Unity Catalog, MLflow, Databricks Jobs) and workflow orchestration withApache Airflow and strong working knowledge of bothsupervised and unsupervisedtechniques, including tree-based and kernel methods (gradient boosting, random forest, SVM) and anomaly-detection approaches such as Isolation Forest, Local Outlier Factor, and locality-sensitive hashing.

• Solid grounding indata pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems.

• AppliedNLPexperience — text-to-SQL / natural-language query, entity extraction and linking, relevancy ranking, summarization, and news or research feed analytics; exposure tocomputer visionor multi-modal document processing (OCR, layout-aware extraction) is a plus and familiarity withAWS machine learning servicessuch as Amazon Bedrock with EKS-based deployment.

• Knowledge ofdeep learning architectures(CNNs, transformers, sequence models) and of reinforcement learning concepts and their practical applications.

• Experience buildingself-service ML tooling— model catalogues, automated pipelines, feature stores, and explain ability (SHAP, LIME) surfaced to non-technical users with understanding ofindustry-standard validation and testing for LLMs— ground-truth evaluation datasets, accuracy, hallucination and toxicity metrics, guardrails and content moderation, red-teaming, and embedding evals into CI/CD.

• Experience withAI/ML observability(OpenTelemetry, Phoenix, or equivalent tracing) and with model governance, auditability, and control requirements in a regulated financial-services environment and familiarity withfinancial risk domain concepts— market, credit, counterparty, or investment risk, portfolio exposure, and data-quality controls.

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