Python MLOps Engineer

Python MLOps Engineer Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML python application. The role focuses on backend Python and SQL in a lightly documented codebase, adjacent to machine learning without designing models. You will troubleshoot issues across code, data, and logic, implement business rule changes, and enhance logging to support downstream reporting. This work enables the senior data scientist to concentrate on model development while you drive stability and production-like support for the pilot. Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Responsibilities • Trace, analyze, and modify existing Python code within a changing pilot codebase. • Write and update SQL queries for data retrieval and logic corrections. • Debug issues reported by stakeholders and resolve defects in code and logic. • Investigate unexpected or inconsistent model outputs to determine root causes. • Implement business rule and logic changes safely and predictably. • Add and enhance logging across the workflow to support observability and reporting. • Provide production-like troubleshooting support for the pilot process. • Identify root causes across code, data, logic, or model-adjacent behavior. • Partner with stakeholders to understand requested changes and translate them into code. • Ensure outputs and logs meet downstream reporting needs. Experience Requirements • Strong Python development experience in backend or application logic environments. • Strong SQL skills with the ability to write and modify complex queries. • Demonstrated experience working within and extending existing codebases using version control such as GitHub. • Proven debugging and troubleshooting ability in loosely documented, evolving systems. • Experience supporting backend workflows and application logic with production-like support. • Exposure to data science or machine learning applications sufficient to interpret model outputs and feature behavior. • Experience with MLOps or model-adjacent systems (preferred). • Experience with Google Cloud, Vertex AI, and BigQuery (preferred). • Experience supporting data science workflows or applications, especially in fast-changing pilot environments (preferred). Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available and that may result in pay outside of the range provided. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com.