Data engineer

Job Description

Insight Global is looking for a Machine Learning Engineer. This candidate will be working with the DevSecOps team to maintain infrastructure pipelines. They will be developing and maintaining the CI/CD pipelines in order to keep them running at all times. They will be required to be on call once every four weeks.

Working to design, build, and scale self-running ML solutions

Working from the ground up on ML models

Collaborate with high-level stakeholders

Keep 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 [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

Must Haves:

GCP Experience (VertexAI, BigQuery, Dataproc, Cloud Storage)

Python Experience

CI/CD Experience

Docker Experience

Api Experience (Development and Maintenance)

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. Previous automotive experience

Master's degree

Experience with the used vehicle market

Experience with machine learning (XG Boost)

Terraform Knowledge