Job Description

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. If anyone reaches out to you about an open position connected with OpenKyber, please ensure that you are working directly with us by confirming the following: When you work with OpenKyber, all email communication will come from an OpenKyber.com address, never Gmail, Yahoo, etc. OpenKyber will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with OpenKyber. If you have any indication of fraudulent activity, please contact . About OpenKyber: OpenKyber is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. OpenKyber is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. OpenKyber does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! 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