Machine Learning Engineer

Machine Learning Engineer Position Location: Pittsburgh, PA, 15222 / Strongsville, OH, 44136 / Dallas, TX, 75234 Onsite/Remote: Fully in office, 5 days per week for team collaboration. Length of Assignment: 6 Months Contract to Hire role Pay Rate: $60 to 75/hr. on W2 ONLY Industry background: financial services is helpful but not required. Roles and Responsibilities Continuous support of models deployed to production applications. Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery. Continuous support of models deployed to production applications. Release planning, coordination, and hands on support throughout release windows Must Have Skills Required (5+ Years of Experience Required) Experience implementing production solutions that leverage generative AI and LLMs. Machine learning model solution design, build, orchestration and implementation. Experience building solutions with model governance, risk management, and regulatory adherence at top of mind. GPT 5.x Langchain RAG / RAGAS Flex Skills/Nice to Have Experience in financial services Azure AI Search / AI Agent Service / Document Intelligence / Content Safety Client Agent Framework / Foundry Redis Elasticsearch Arize Deepeval ChromaDB Langgraph Education/Certifications: Bachelors Degree Required Pre-Screening Questions: 1. What is "RAG"? What are its benefits? What use cases is it used for? 2. What are the technical steps for implementing a RAG solution in production? Give good details about what each step entails and why it's necessary. 3. How did you build a solution that you ensured would scale? What did your application architecture look like — what services did you deploy and how did they interact with one another? Interview Process: Panel interview - 1 hour. Hiring Manager Stack Ranking of Importance (Most Important to Least Important): 1. Skills 2. Rate 3. Prior Client Experience 4. Location