Note: The job is a remote job and is open to candidates in USA. Optum is a healthcare innovation company developing solutions across data analytics, artificial intelligence, cybersecurity, and healthcare operations. The Senior AI/ML Engineer will design, develop, deploy, and optimize enterprise-scale AI/ML solutions, data pipelines, and MLOps architectures while collaborating with cross-functional teams to address complex healthcare challenges.
Responsibilities
- Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
- Design, develop, and deploy scalable artificial intelligence and machine learning models into cloud-based production environments
- Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
- Evaluate emerging trends in artificial intelligence and machine learning to inform solution design and strategic innovation
- Build, optimize, and maintain robust data pipelines and ML architectures for training, evaluation, and real-time inference
- Collaborate with data scientists, software engineers, and product managers to translate healthcare business requirements into technical AI/ML architecture
- Monitor, evaluate, and fine-tune model performance, latency, and accuracy in production environments
- Establish best practices for MLOps, including automated testing, model monitoring, version control, and continuous integration/continuous deployment (CI/CD)
- Conduct code reviews, mentor technical team members, and drive engineering excellence across the team
Skills
- 5+ years of software engineering experience with a focus on designing, building, and deploying AI/ML models into enterprise production environments
- 3+ years of experience leveraging AI engineering tools and frameworks (e.g., TensorFlow, PyTorch, or scikit-learn) to build automated solutions
- 3+ years of programming experience in Python and utilizing modern cloud platforms (e.g., AWS, Azure, or GCP) for machine learning development
- 3+ years of experience building and optimizing data pipelines and database architectures (e.g., SQL, Spark, Kafka)
- 2+ years of experience with containerization, orchestration, and MLOps tools (e.g., Docker, Kubernetes, MLflow, Kubeflow, or Airflow)
- Bachelors or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field
- Experience with Generative AI frameworks, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures
- Experience building AI solutions within healthcare, including working with healthcare data standards (e.g., FHIR, HL7) and privacy/security guidelines
- Demonstrated experience mentoring technical team members and evaluating emerging technology trends for enterprise integration
Benefits
- Remote work from anywhere within the U.S., except hires in the Minneapolis or Washington, D.C. area are required to work in the office a minimum of four days per week
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
Company Overview
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