GCP ML Engineer (Vertex AI)

Description Remote 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 requirements, 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. Rate $65.00 to $75.00/hr. w2 #LI-JS1 Responsibilities Trace, analyze, and modify existing Python code. Write and update SQL queries. Debug issues reported by business stakeholders. Investigate unexpected or inconsistent model outputs. Implement business rule and logic changes. Add and enhance logging across the workflow. Support pilot production-like troubleshooting. Identify root cause of issues across code, data, logic, or model behavior. Partner with stakeholders to understand and implement requested changes. Ensure outputs and logs support downstream reporting needs. Experience Requirements Strong Python development experience. Strong SQL skills. Experience working within existing codebases. Strong debugging and troubleshooting ability. Experience supporting backend or application logic systems. Ability to work in loosely documented and evolving environments. Experience with version control such as GitHub. Exposure to data science or machine learning applications. Experience with MLOps or model-adjacent systems (preferred). Understanding of model outputs and feature behavior (preferred). Experience with Google Cloud or Vertex (preferred). Experience with BigQuery (preferred). Experience supporting data science workflows or applications (preferred). Experience working in fast-changing or pilot environments (preferred). Recruitment Transparency Notice OpenKyber values transparency in our recruitment practices. Please be advised that OpenKyber utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the OpenKyber Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and OpenKyber takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to OpenKyber's use of these tools, including AI tools, as part of the application and hiring process. 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 that may result in pay outside of the provided range. W2 employees of OpenKyber 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. 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