Hello,
-- Role - AI/ML Data Scientist
Location - Minneapolis, MN(Remote)
Location - Minneapolis, MN(Remote)
Contract
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.
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.
• 2+ years working with cloud platforms (AWS, Azure, GCP).
• 1+ years hands-on with LLM frameworks (e.g., Hugging Face, LangChain, OpenAI APIs).
• Experience with Apache Spark and Git.
Preferred Experience:
• Healthcare data analytics.
• AI/ML applications in Healthcare
• Familiarity with production-grade ML systems and MLOps.
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.
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.
• 2+ years working with cloud platforms (AWS, Azure, GCP).
• 1+ years hands-on with LLM frameworks (e.g., Hugging Face, LangChain, OpenAI APIs).
• Experience with Apache Spark and Git.
Preferred Experience:
• Healthcare data analytics.
• AI/ML applications in Healthcare
• Familiarity with production-grade ML systems and MLOps.
You received this message because you are subscribed to the Google Groups "Latest C2C Requirements2" group.
To unsubscribe from this group and stop receiving emails from it, send an email to latest-c2c-requirements2+unsubscribe@googlegroups.com.
To view this discussion visit https://groups.google.com/d/msgid/latest-c2c-requirements2/CAMjeKS8Tkey_JjDC-EV1bETZUmv14s700gc4Uq6mKwaG6exOnA%40mail.gmail.com.
For more options, visit https://groups.google.com/d/optout.
