Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 month(s)
No Travel Required
Skills
LLM
NLP
OpenAI
PyTorch
tensorflow
Langchain
Hugging face
Job Details
Role - AI/ML Data Scientist
Location - Minneapolis, MN(Remote)
Job Details:
This position focuses on leveraging AI/ML, particularly Large Language Models (LLMs) and AI/ML solutions to drive medical cost savings and operational efficiency across Optum's Projects. The role involves designing scalable data science solutions and leading innovation in healthcare analytics.
Location - Minneapolis, MN(Remote)
Job Details:
This position focuses on leveraging AI/ML, particularly Large Language Models (LLMs) and AI/ML solutions to drive medical cost savings and operational efficiency across Optum's Projects. The role involves designing scalable data science solutions and leading innovation in healthcare analytics.
Key Responsibilities:
LLM Integration: Apply LLMs to enhance analytic methodologies and develop intelligent automation solutions.
End-to-End Pipelines: Build and maintain full data science pipelines including ingestion, feature engineering, modeling, deployment, and monitoring.
Cross-Functional Collaboration: Work closely with engineering, product, and business teams to align models with strategic goals.
Innovation Leadership: Lead initiatives in AI/ML innovation, including foundation models and retrieval-augmented generation.
Mentorship: Guide junior data scientists and promote best practices in coding and collaboration.
Cross-Functional Collaboration: Work closely with engineering, product, and business teams to align models with strategic goals.
Innovation Leadership: Lead initiatives in AI/ML innovation, including foundation models and retrieval-augmented generation.
Mentorship: Guide junior data scientists and promote best practices in coding and collaboration.
Required Qualifications:
5+ years in predictive modeling, ML, NLP, or deep learning.
Strong Python skills and experience with ML libraries (Scikit-learn, PyTorch, TensorFlow, SparkML).
3+ years of SQL experience in distributed data environments.
Strong Python skills and experience with ML libraries (Scikit-learn, PyTorch, TensorFlow, SparkML).
3+ years of SQL experience in distributed data environments.
2+ years working with cloud platforms (AWS, Azure, Google Cloud Platform).
1+ years hands-on with LLM frameworks (e.g., Hugging Face, LangChain, OpenAI APIs).
Experience with Apache Spark and Git.
Experience with Apache Spark and Git.
Preferred Experience:
Healthcare data analytics.
AI/ML applications in Healthcare
Familiarity with production-grade ML systems and MLOps.
Familiarity with production-grade ML systems and MLOps.
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