Senior Applied AI/ML Engineer for Production Systems

Next Frontier Capital; Jersey City (NJ); On-site; USD 190,000 - 230,000; Full time

Benefits offered by this job

Health benefits

On-site wellness centers

Tuition reimbursement

Job summary

JPMorgan Chase & Co. is hiring an Applied AI/ML Senior Associate to join the Corporate Technology-Risk Technology team.

You will design and deliver trusted technology products, build production Python services (Flask/FastAPI) and ML/NLP pipelines, and scale solutions across diverse datasets and business functions in a secure, compliant environment. You will work in an Agile team, implement CI/CD, ensure operational stability, and contribute to governance and observability.

Qualifications

• Formal training or certification in software engineering concepts and 5+ years of production Python experience.
• Experience deploying ML/NLP models in real-world applications (training, packaging, deployment, monitoring).
• Experience with large datasets and distributed compute; SQL fluency required.
• Hands-on software design, testing, and operational stability for daily production services.

Responsibilities

• Executes software solutions with architecture and design artifacts for complex applications.
• Gathers and visualizes data from large datasets to improve software performance.
• Identifies data patterns to drive improvements in code and system design.
• Contributes to communities of practice and supports inclusive team culture.

Skills

Python

Web APIs

ML/NLP

Distributed compute

Data analysis

Version control

CI/CD

LLM patterns

Agentic AI frameworks

OpenTelemetry

Education

Software engineering training

Tools

Flask

FastAPI

scikit-learn

pandas

NumPy

spaCy

PyTorch

TensorFlow

Spark/Databricks

Airflow

MCP

Google ADK

Arize Phoenix SDK

OpenTelemetry

Job description

JPMorgan Chase & Co. is hiring an Applied AI/ML Senior Associate to join the Corporate Technology-Risk Technology team.

You will design and deliver trusted technology products, build production Python services (Flask/FastAPI) and ML/NLP pipelines, and scale solutions across diverse datasets and business functions in a secure, compliant environment. You will work in an Agile team, implement CI/CD, ensure operational stability, and contribute to governance and observability.