Insight Global is seeking a ML Ops Engineer to join a Fortune 100 Healthcare organization in Dallas, TX or sitting remotely. This individual will join a team responsible for building out a Clinical Data Repository, which focuses on building an enterprise data solution for various business units. Day to day, this person will be responsible for starting out with a set of prototypes in GenAI, as well as a set of data analytic models and workflows. They will be responsible for kicking off the prototype POC workflow, and will be responsible for understanding requirements, and developing and supporting that POC. Candidates should come from a background of 4+ years of hands-on experience with Python, SQL and GenAI, with a background preferably in data science.
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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- 4+ years of experience in data analysis, machine learning, and statistical analysis and experiment design
- Strong proficiency with Python programming, including experience with core and advanced Python
o Experience with essential packages such as scikit-learn (sklearn), matplotlib, pandas, seaborn, PyTorch, Hugging Face, and OpenAI
- Experience with SQL, specifically experience building models and running queries.
- Generative AI, LLM and NLP knowledge and experience, including the following:
o Ability to build and deploy
o Ability to integrate with GCP
o Ability to build data science models and integrate them with the data
o Ability to evaluate data products utilizing Gen AI
- Strong background in natural language processing, including classification (sequence/token), information retrieval (dense/sparse search) and regex.
- GCP experience, including knowledge surrounding GCS, Big Query, Big table, data proc.
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.