AI/ML Engineer

UnitedHealth Group•Eden Prairie, MN

1d•$98,500 - $176,000•Remote

About The Position

As an AI/ML Engineer within People Technology, you will design, develop, and deploy intelligent AI-powered solutions and machine learning workflows that transform workforce capabilities and employee experiences across the enterprise. Working closely with cross-functional software engineers, data scientists, and business stakeholders, you will build and integrate scalable machine learning models and modern AI tools to solve complex HR and talent analytics challenges. If you are eager to evaluate emerging technologies, build reliable AI solutions, and drive continuous technological innovation in a remote-friendly environment, we encourage you to apply. You’ll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

2+ years of professional experience in software engineering, machine learning, or data science
2+ years of experience designing, building, and deploying AI-powered or machine learning solutions in production environments
2+ years of programming experience with Python and data libraries, such as NumPy, Pandas, and Scikit-learn
2+ years of experience working with enterprise databases and SQL for data engineering and pipeline development
1+ years of experience utilizing cloud platforms, such as AWS, Azure, or GCP, for machine learning development and deployment

Nice To Haves

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related quantitative field
Experience building AI/ML solutions supporting People Technology, Human Resources, or workforce analytics applications
Experience with deep learning frameworks, such as PyTorch or TensorFlow, and natural language processing (NLP)
Experience with MLOps frameworks, containerization technologies (Docker, Kubernetes), and workflow orchestrators such as Airflow or MLflow
Knowledge of responsible AI frameworks, model governance, and ethical AI deployment practices

Responsibilities

Design, develop, and deploy AI-powered solutions to address complex business challenges, with an emphasis on the responsible use of AI
Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement across People Technology platforms
Evaluate emerging trends to inform solution design and strategic innovation
Build, train, fine-tune, and deploy machine learning models and data pipelines supporting workforce and enterprise applications
Collaborate with software engineers, data scientists, and business partners to integrate machine learning capabilities into production systems
Implement automated testing, CI/CD, and MLOps practices to ensure model reliability, scalability, and security
Ensure data governance, privacy, security, and quality standards are maintained across all AI/ML models and architectures