Senior Applied AI ML Engineer

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 61,000 - 101,000; Full time

Benefits offered by this job

Health care coverage

Wellness centers

Retirement savings

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase & Co. in Columbus, OH, is seeking a senior ML/AI engineer to design, build, and operate ML models and LLM solutions for enterprise-scale monitoring and risk applications.

You will collaborate with product managers, SRE, and compliance SMEs to improve product adoption, reliability, and outcomes while deploying in cloud-scale microservice architectures. A strong NLP/IR background and hands-on ML framework experience are required.

Qualifications

• PhD or MS/BS with significant practical experience in CS/DS/AI
• Strong foundation in information retrieval and NLP
• Expertise in Python, Java, and JVM-based languages
• Experience integrating models into cloud-scale microservices architectures
• Hands-on experience with ML frameworks (PyTorch, TensorFlow, SciKit, NeMo, HF Transformers)
• Practical experience with AWS and Databricks
• Exposure to SQL, NoSQL, and messaging stacks
• Excellent communication with ownership in early-stage environments
• Operational experience supporting an enterprise-grade ML application in production
• Preferred: Databricks CDAO platform experience
• Preferred: production-grade ML pipelines, APIs, and MLOps frameworks
• Preferred: AML, monitoring, and investigations systems
• Preferred: data engineering, distributed systems, scalable architectures
• Preferred: vector databases, model serving, inference optimization

Responsibilities

• Design, build, and operate ML models
• Design, build, and run LLM solutions
• Create feedback/accuracy measurement methods for AI solutions
• Design, build, and operate risk feature data pipelines in Databricks
• Monitor drift, bias, and performance degradation; alert on issues
• Collaborate with cross-functional teams using agile processes
• Work with Product Managers, SRE, and Compliance SMEs to improve adoption, reliability, and outcomes

Skills

Python

Java

Functional programming

JVM-based languages

Information retrieval

Natural language processing

ML frameworks: PyTorch

ML frameworks: TensorFlow

ML frameworks: Scikit-Learn

ML frameworks: NeMo

Hugging Face Transformers

AWS

Databricks

SQL

NoSQL

Messaging stacks

Vector databases

Model serving

Distributed systems

Cloud architectures

Education

PhD in Computer Science / Data Science / AI

MS in Computer Science / Data Science / AI

BS in Computer Science / Data Science / AI

Tools

Databricks

AWS

Databricks CDAO platform

ML pipelines

APIs

Job description

Salary: $61,000 - 101,000 per year

Requirements:

• We require a PhD in Computer Science, Data Science, AI, or a related discipline with 2+ years of experience, or an MS in one of these fields with 4+ years of experience, or a BS in one of these fields with 8+ years of experience.
• We need a strong foundation in information retrieval and natural language processing.
• We expect expertise in Python, Java, functional programming, and JVM-based languages.
• We look for experience integrating models into cloud-scale, microservices-based architectures.
• We value hands‑on experience with one or more ML frameworks such as PyTorch, TensorFlow, SciKit, NeMo, or Hugging Face Transformers.
• We require practical experience with AWS services and Databricks.
• We expect exposure to SQL, NoSQL, and messaging stacks.
• We need excellent verbal and written communication skills, along with a strong bias for action and ownership in early‑stage environments.
• We require operational experience supporting an enterprise‑grade ML application in production.
• Preferred: experience with the firms Databricks CDAO platform.
• Preferred: experience building production‑grade ML pipelines, APIs, and MLOps frameworks.
• Preferred: experience in AML, monitoring, and investigations systems.
• Preferred: solid understanding of data engineering concepts, distributed systems, and scalable architectures.
• Preferred: familiarity with vector databases, model serving, and inference optimization.

Responsibilities:

• We design, build, collaborate on, and operate ML models.
• We design, build, and run LLM solutions.
• We create feedback and accuracy measurement methods for AI solutions.
• We design, build, and operate risk feature data pipelines in Databricks.
• We monitor for drift, bias, and performance degradation, and alert on issues.
• We work closely with a cross‑functional team using agile processes.
• We collaborate with Product Managers, SRE, and Compliance SMEs to improve product adoption, reliability, and outcomes.

Technologies:

• AI
• AWS
• Cloud
• Databricks
• Support
• JVM
• Java
• LLM
• Marketing
• MLOps
• Model Serving
• NoSQL
• PyTorch
• Python
• SQL
• TensorFlow
• microservices

More:

We are partnering with hackajob and J.P. Morgan on an exciting senior software engineering opportunity focused on next‑generation, AI‑driven Global Financial Crimes Strategic Monitoring solutions that detect AML risk, regulatory violations, transaction risk, misconduct, and behavioral anomalies. In this hands‑on role, we work at the intersection of risk modeling, NLP architectures, inference systems, regulatory explainability, and auditability, while collaborating with product managers, architects, data science, operational teams, and engineering communities. We offer a competitive total rewards package, eligibility‑based benefits and programs, and a broad range of support including health care coverage, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We are committed to diversity, inclusion, and equal opportunity. Our Corporate Functions team spans finance, risk, human resources, and marketing, helping set our businesses, clients, customers, and employees up for success.

last updated 40 week of 2026