JP Morgan Chase & Co.

Applied AI ML Lead - ML Ops, CTC

JP Morgan Chase & Co. • $120K — $150K *
Houston, TX 77002In-Person
Information Technology
Less than 5 years of experience
2 months ago
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field with relevant ML Ops experience
  • Experience deploying and managing machine learning models in production environments
  • Skilled in building and maintaining CI/CD pipelines for ML workflows
  • Proficient with cloud platforms (AWS, Google Cloud, Azure) and containerization tools (Docker, Kubernetes)
  • Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK Stack)
  • Advanced Python programming skills
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills for collaboration with cross-functional teams

Responsibilities

  • Collaborate with data scientists and software engineers to integrate machine learning models into applications
  • Deploy machine learning models into production, ensuring scalability, reliability, and efficiency
  • Build and maintain CI/CD pipelines to automate testing, deployment, and updates for ML models
  • Manage and optimize infrastructure for running models, utilizing cloud services, Docker, and Kubernetes
  • Set up monitoring and logging to track model performance and detect anomalies
  • Maintain version control for models and data to support traceability
  • Apply security best practices and ensure compliance with regulatory standards

Benefits

  • Join a fast-growing area of Cybersecurity at a leading financial institution
  • Opportunity to work independently and on innovative machine learning solutions
  • Collaboration with a global cybersecurity team of technologists and innovators
  • Access to latest technologies in machine learning and AI
  • Contribute to impactful AI solutions that drive real business outcomes
Full Job Description
JOB DESCRIPTION

Step into a fast-growing area of Cybersecurity at JPMorganChase, where you can help build and deploy machine learning solutions that directly support Cyber Operations. In this role, you’ll work independently and apply your skills in data analysis, statistics, and data engineering to deliver machine learning models that drive real business outcomes. You’ll join a global Cybersecurity team, collaborating with technologists and innovators who protect our assets every day.

As an ML Ops Engineer within Corporate Sector in Cybersecurity & Tech Controls team,  you will deploy, monitor, and manage machine learning models in production environments using the latest technologies. You’ll automate model deployment, optimize infrastructure, and ensure AI systems perform reliably and efficiently. Your collaboration with cross-functional teams and your problem-solving skills will help drive innovation and deliver impactful AI solutions. 

 

Job responsibilities

  • Work closely with data scientists and software engineers to integrate machine learning models into applications.
  • Deploy machine learning models into production, ensuring they are scalable, reliable, and efficient.
  • Build and maintain CI/CD pipelines to automate testing, deployment, and updates for machine learning models.
  • Manage and optimize infrastructure for running models, including cloud services, Docker, and Kubernetes.
  • Set up monitoring and logging to track model performance, detect anomalies, and ensure smooth operation.
  • Maintain version control for models and data, supporting traceability and compliance.
  • Apply security best practices and ensure models meet regulatory standards.

 

Required qualifications, capabilities, and skills

  • Bachelor’s degree in Computer Science, Engineering, or a related field, with relevant ML Ops experience.
  • Experience deploying and managing machine learning models in production environments.
  • Skilled in building and maintaining CI/CD pipelines for machine learning workflows.
  • Proficient with cloud platforms (AWS, Google Cloud, Azure) and containerization tools (Docker, Kubernetes).
  • Familiar with monitoring and logging tools (Prometheus, Grafana, ELK Stack).
  • Advanced Python programming skills.
  • Strong problem-solving skills and attention to detail.
  • Effective communicator, able to collaborate with cross-functional teams.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, with relevant ML Ops experience.

 

Preferred qualifications, capabilities, and skills

  • Experience deploying and managing large-scale machine learning models in production.
  • Ability to monitor models in production and address performance and data quality issues.
  • Working knowledge of security best practices and compliance standards for ML systems.
  • Experience optimizing infrastructure for performance and efficiency.
  • Developed REST APIs using frameworks like Flask or FastAPI.
  • Familiarity with synthetic datasets for model training and evaluation.

 

#LI-RB3

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Finance & Insurance
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ
CCF
* Ladders Estimates

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