AI/ML Engineer, Sr. - Remote

TRENT HOEK OUTDOORS LLC
Washington, DC, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Cloud Computing Information Engineering Python (Programming Language) Machine Learning Tensorflow Pytorch Scikit Learn Machine Learning Operations

Job description

UnitedHealth Group is seeking a Senior AI/ML Engineer to design, build, and scale artificial intelligence and machine learning solutions that improve healthcare experiences. The role involves developing production-ready AI/ML solutions and working with cross-functional teams to bring machine learning models into operational environments.

Requirements

  • 5+ years of experience in software, data, AI, or related fields.

  • 3+ years of experience deploying machine learning models.

  • Strong Python expertise.

  • Experience with TensorFlow, PyTorch, and/or scikit-learn.

  • Cloud experience.

  • Experience working with AI/ML solutions in production environments.

Preferred Qualifications

  • Experience with robust MLOps practices.

  • Experience with AI/ML governance.

  • Experience developing solutions within healthcare or healthcare-related environments.

Skills & Competencies

  • Artificial Intelligence (AI)

  • Machine Learning (ML)

  • Python

  • TensorFlow

  • PyTorch

  • scikit-learn

  • MLOps

  • Machine learning model deployment

  • Cloud technologies

  • AI/ML governance

  • Production AI/ML systems

  • Cross-functional collaboration

  • Software and data engineering

Education & Experience

Education

  • No specific educational requirement stated.

Experience

  • 5+ years of experience in software, data, AI, or related fields.

  • 3+ years of experience deploying machine learning models.

  • Experience with Python, machine learning frameworks, and cloud technologies.

Work Arrangement & Schedule

  • Work arrangement: Remote nationwide or office-based.

Benefits & conditions

  • Compensation: Competitive salary.

  • Benefits: Comprehensive benefits package.

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