AI/ML Engineer - Remote

Unitedhealth Group Inc
United States
about 1 month ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$120,100.0 - $214,500.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Business Analytics Applications Data Analysis Microsoft Azure Big Data Clinical Data Repository Cloud Engineering Continuous Integration Data as a Services Distributed Computing Environment
+32 more
Statistical Hypothesis Testing Python (Programming Language) Machine Learning NumPy Tensorflow Azure Machine Learning SciPy Software Engineering Data Processing Google Cloud Enterprise Software Applications Cloud Platform System Feature Engineering Pytorch Fast Healthcare Interoperability Resources Large Language Models Snowflake Prompt Engineering Apache Spark Deep Learning Model Validation Generative AI Pandas Containerization Scikit Learn Kubernetes Information Technology Health Level Seven International Machine Learning Operations Docker Databricks Microservices

Job description

  • Design, develop, and deploy AI-powered solutions to address complex healthcare challenges with an emphasis on the responsible and ethical use of AI
  • Perform exploratory data analysis (EDA), feature engineering, statistical modeling, and hypothesis testing on large-scale clinical and healthcare datasets
  • Leverage enterprise-approved AI tools and frameworks to streamline engineering workflows, automate repetitive tasks, and drive continuous process improvement
  • Evaluate emerging AI/ML trends, foundational models, statistical techniques, and technical tools to inform architectural solution design and strategic innovation
  • Build, optimize, and maintain production-grade machine learning pipelines and predictive models for data preprocessing, model training, evaluation, and monitoring
  • Architect scalable microservices and APIs to integrate machine learning models and data science capabilities seamlessly into enterprise applications and clinical workflows
  • Collaborate with cross-functional technical, data, and clinical teams to translate high-level business objectives into robust, secure, and performant solutions
  • Implement MLOps best practices to ensure continuous integration, automated model evaluation, governance, model tracking, and reliable deployment at enterprise scale

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

  • 5+ years of software engineering, machine learning engineering, or data science experience in a production enterprise environment
  • 3+ years of hands-on experience designing, statistical modeling, training, evaluating, and deploying machine learning or deep learning models in production
  • 3+ years of proficiency with Python and core AI/ML and data science libraries (e.g., PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, SciPy)
  • 2+ years of experience with cloud platform infrastructure (AWS, Azure, or Google Cloud Platform) and cloud-native AI/ML/data services (e.g., SageMaker, Azure ML, Vertex AI)
  • 2+ years of experience in statistical analysis, predictive modeling, hypothesis testing, and advanced data manipulation on complex datasets
  • 2+ years of experience implementing MLOps, CI/CD pipelines, containerization (Docker, Kubernetes), and model monitoring/governance frameworks, * Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
  • Experience working with Large Language Models (LLMs), Generative AI architectures, prompt engineering, and Retrieval-Augmented Generation (RAG) frameworks
  • Experience with distributed data processing systems and analytics platforms such as Apache Spark, Databricks, or Snowflake
  • Background in healthcare technology, clinical data standards (FHIR, HL7), or working within highly regulated data compliance environments (HIPAA, HITRUST)
  • Proven track record of leveraging modern AI coding tools and automation frameworks to accelerate software and data science delivery

*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Benefits & conditions

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

About the company

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

The Optum Health Technology team is seeking a Senior AI/ML Engineer with a strong data science background to build and scale cutting-edge AI-powered solutions that transform value-based care delivery. In this role, you will lead the design, development, statistical analysis, and enterprise deployment of machine learning models, generative AI architectures, predictive analytics, and intelligent automations that directly improve patient health outcomes and operational efficiency. You will collaborate closely with software engineers, data scientists, data architects, product managers, and clinical leaders to translate complex clinical data into actionable intelligence, streamline healthcare workflows, empower clinical decision-making, and deliver scalable value across the care continuum.

You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges., At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Loading talks and stories from around this role…