Job Description
Salary: $89,900 - 89,900 per year Requirements:
- 8 years of overall experience in data science or data analytics.
- 3 years of experience working on AI projects with successfully deployed AI solutions in production settings.
- Proficiency in utilizing Agentic AI and frameworks such as LangGraph and LangChain.
- Experience with large language models, retrieval-augmented generation (RAG), transformers, etc.
- Demonstrated experience with AI/ML projects that have been implemented in production environments.
- 3 years of experience developing advanced ML models to generate new data samples, patterns, or content based on existing inputs.
- 3 years of experience using Azure or AWS services for AI/ML projects (e.g., Databricks, AKS/EKS, ADF, Cognitive Services, Logic Apps, Power Automate).
Responsibilities: - Design, develop, and deploy machine learning models and algorithms into production environments.
- Apply deep learning technologies for tasks such as computer vision, natural language processing (NLP), natural language understanding (NLU), automatic speech recognition (ASR), and semantic comprehension.
- Collaborate with advanced AI frameworks like LangChain and LangGraph, optimizing and quantizing generative AI models, including those leveraging RAG, transformers, and vector databases.
- Manage large-scale training and inference tasks utilizing platforms like Databricks and PySpark, alongside conducting statistical analysis, feature engineering, and dimensionality reduction techniques (e.g., PCA, SVD, UMAP, t-SNE).
- Develop scalable AI platforms and integrate ML solutions into existing systems using REST APIs, Docker, and cloud services (Azure, AWS).
- Participate in AI governance processes involving project intake, proof-of-concept development, and capital planning.
- Mentor junior AI/ML engineers, fostering a culture of collaboration and feedback, and engage in code reviews and peer programming.
Technologies: - AI
- AWS
- Azure
- Cloud
- Computer Vision
- Databricks
- Docker
- Machine Learning
- PySpark
- REST
- API
- CI/CD
- GitHub
- Support
- Python
More:
At Optum, we are dedicated to connecting exceptional technology professionals with meaningful opportunities. We're a global organization focused on improving health outcomes through technology, supporting millions in living healthier lives. By joining our team, you will find a culture fostered by inclusion, skilled colleagues, rich benefits, and pathways for growth in your career.
We are seeking a Senior AI/ML Engineer to enhance our CPS Optimizer application through advanced machine learning solutions. As a prominent provider of pharmacy services to over 800 healthcare facilities nationwide, we leverage data analytics to tackle complex operational challenges related to drug cost containment, regulatory compliance, and specialty pharmacy strategies. In this position, you will collaborate with data scientists, engineers, and product leaders to develop scalable AI/ML models, optimize algorithms, and incorporate predictive insights into production systems.
Enjoy the flexibility of remote work from anywhere in the U.S. while addressing challenging projects. For hires located in the Minneapolis or Washington, D.C. areas, a minimum of four days in-office work will be required. We reward your contributions in an environment that encourages growth and provides clarity on success in your role, coupled with development opportunities for future positions.
The salary for this role will range from $89,900 to $160,600 annually, subject to factors like local labor markets, education, work experience, and certifications. Additionally, we offer a comprehensive benefits package that includes incentive programs, stock purchase options, and 401k contributions, all based on eligibility.
At UnitedHealth Group, our mission is to promote healthier lives and improve the healthcare system for everyone. We are committed to reducing health disparities and enabling equitable care for all, reflecting our dedication to diversity, inclusion, and the environment in our operations.
last updated 46 week of 2025
Job Tags
Full time, Work experience placement, Work at office, Local area, Remote work,