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Senior Machine Learning Engineer

Jobs via Dice
Pittsburgh, PA Full Time
POSTED ON 3/26/2026
AVAILABLE BEFORE 4/24/2026
Dice is the leading career destination for tech experts at every stage of their careers. Our client, System One, is seeking the following. Apply via Dice today!

Job Title: Senior Machine Learning Engineer

Location: Pittsburgh, PA / Cleveland, OH

Type: Contract

Compensation: $0.00

Contractor Work Model: Onsite

Hours: 40.0

Security Clearance: Not specified

Overview

Leave placeholder text here for recruiter to input

Responsibilities

  • Provide continuous support for models deployed to production applications within financial services
  • Consult with internal clients to elicit and collect requirements, and communicate and align the technical team toward delivery
  • Manage release planning, coordination, and provide hands-on support throughout release windows

Requirements

  • Experience implementing production solutions leveraging generative AI and LLMs
  • Proficiency in machine learning model solution design, build, orchestration, and implementation
  • Experience with model governance, risk management, and regulatory compliance
  • Knowledge of GPT 5.x, Langchain, RAG / RAGASFlex
  • Strong problem-solving skills and the ability to work collaboratively in a team environment

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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