Hybrid ML Ops Engineer

Insight Global is seeking a Machine Learning Engineer to join a Fortune 10 retail pharmacy client and a team that focuses on retail data products sitting one of the office locations (Irving, TX, Chicago, IL, Woonsocket, RI, New York, NY, Hartford, CT). This consultant will contribute to a model that supports promotional and pricing forecasting. The ideal candidate would be experienced in design, implementation and optimization of machine learning algorithms and models, as well as strong python and SQL programming skills, all within an Azure environment.

Compensation:
$55/hr to $65/hr

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

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.

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 .

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Required Skills & Experience
- 10+ years technical experience, with strong Python skills, Data Engineering background, and experience deploying models to Kubernetes
- Strong Python and SQL programming skills
- Experience distributing workloads
- Excellent communication, willingness to learn and commit to long-term role

Nice to Have Skills & Experience
- Machine Learning/ ML Ops background

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.