AI/ML Engineer [Multiple Positions Available]

JPMorganChase•Plano, TX

1d•Onsite

About The Position

This role involves designing and implementing Python-based solutions for storage volume management, aiming to reduce costs and improve efficiency. The engineer will drive the enhancement of storage management platforms, develop tools for intelligent capacity management with predictive analytics, and monitor user interfaces for these tools. Responsibilities include automating storage builds, conducting performance testing for control plane APIs, and building AI-powered chatbots for customer support using cloud-based models. The position also requires direct customer engagement for feedback and adoption, utilizing ORM and FastAPI for database operations, and collaborating with cross-functional teams to deliver scalable solutions. Participation in technical sessions with vendors and mentoring junior engineers are also key aspects of the role.

Requirements

Master's degree in Computer Science, Computer Engineering, or related field of study plus 3 years of experience in the job offered or as AI/ML Engineer, Python Developer, or related occupation.
Alternatively, a Bachelor's degree in Computer Science, Computer Engineering, or related field of study plus 5 years of experience in the job offered or as AI/ML Engineer, Python Developer, or related occupation.
Developing and maintaining web-based management platforms for storage and infrastructure products including private cloud storage.
Building dashboards and tools using Tableau or Grafana for capacity management including predictive analytics and data visualization.
Designing and developing user interfaces using HTML, CSS, and JavaScript.
Automating infrastructure and application deployment processes using Python and containerization technologies including Kubernetes.
Developing and executing end-to-end performance testing strategies using Blazemeter, JMeter, and Locust.
Developing RESTful APIs using Django and FastAPI frameworks.
Using Django ORM and FastAPI dependency injection for database operations and business logic.
Developing web applications using React and Angular frameworks.
Building and deploying AI-powered large language model use cases with cloud-based machine learning models including AWS bedrock Claude sonnet and OpenAI GPT (1 year experience).
Working with Oracle SQL, PostgreSQL, and MongoDB to maintain and operate relational and non-relational databases.
Using GitHub and Bitbucket for version control and Continuous development.
Deploying Web Applications on AWS.
Using Docker and Kubernetes to build and containerize web applications and micro-services.
Using Apache Airflow and Celery to schedule and trigger cron jobs.

Responsibilities

Design and implement Python-based solutions to identify and reduce resource allocation for unused storage volumes.
Drive the redesign and enhancement of storage management platforms introducing advanced features, updated branding, and a streamlined user experience.
Develop dashboards and tools for intelligent capacity management enabling predictive analytics and actionable insights.
Monitor the enablement of user interfaces for intelligent storage capacity tools.
Implement automation for storage builds, minimizing manual toil.
Develop and execute end-to-end performance testing strategies using industry-standard tools to enhance the reliability and performance of control plane APIs.
Build and deploy AI-powered chatbots using cloud-based models to support customer inquiries related to billing and usage.
Engage directly with customers to educate, gather feedback, and drive adoption of new features and self-service tools.
Utilize Object Relational Mapper (ORM) and FastAPI's dependency injection to streamline database operations and business logic.
Partner with product managers, business analysts, and other cross-functional teams to gather requirements, architect scalable solutions, and deliver products.
Participate in technical sessions with internal teams and external vendors to assess architectural designs and integration strategies.
Mentor junior engineers and collaborate within cross-functional teams to deliver technical projects.