ML Engineer

Machine Learning Engineer

Insight Global is looking for a Machine Learning Engineer. This candidate will be working with the DevSecOps team to maintain infrastructure security. This individual will be working with the Used Vehicle Market team. The role involves designing, building, and scaling self-running ML solutions, working from the ground up on ML models, and collaborating with high-level stakeholders. The position requires keeping machine learning models flowing throughout all hours.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

Skills and Requirements:

• 3+ years of experience
• Bachelors degree
• GCP experience
• Python experience
• Experience working with CI/CD pipelines
• Knowledge of Docker
• SonarQube experience
• Masters Degree
• Automotive experience
• Exposure to machine learning (XGBoost)

Exact compensation may vary based on several factors, including skills, experience, and education.

56/hr-66/hr

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.