Job Description
Insight Global is looking for a ML Ops Engineer to join the analytics organization at a global pharmacy retail client. This candidate will be working on a team that is building reporting capabilities for their pharmacy sites. A majority of their day to day will be spent coding in python, reviewing data pipelines and adding new code enhancements. This candidate will be joining a team of data scientists and developers. This is a remote contract for 3 months with the potential to extend.
Pay Range is $65 - $75/hr.
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.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
- 5+ years of experience working as an ML Ops Engineer
- Strong coding and python skills
- Strong communication skills and experience working embedded in a business team
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.