Sr. Data/ ML Ops Engineer

Insight Global is seeking a Senior ML Ops Engineer with a strong Data Engineering background to join a Fortune 10 retail pharmacy client and a team that focuses on retail data products in Irving, TX. This is a contract position with intention to convert full time. This consultant will scale and deploy large models that supports promotional and pricing forecasting. The ideal candidate would be experienced in Python development, data engineering, and utilizing Kubernetes for deployment of data pipelines and ML models. This is an exciting opportunity to join a growing organization!

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 of professional experience, coming from a strong data engineering background
Strong Python development skills
Deep understanding of Kubernetes, including Kubernetes objects and how to scale.
Experience deploying data pipelines to Kubernetes

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

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.