ChatGPT Jobs · 11 hours ago
Data Engineering Scientist with AI/ML - Remote
United States
Full-time
Remote
Mid, Senior Level
$71K/yr - $127K/yr
5+ years expUnitedHealth Group is seeking a highly skilled and motivated AI/ML Engineer to lead innovation in claims adjudication through advanced Generative AI solutions. This role emphasizes Large Language Models (LLMs), agentic frameworks, and prompt engineering to automate complex workflows.
Computer Software
Responsibilities
Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and generative analytics across healthcare datasets
Implement advanced architectures including LLMs (GPT, Gemini, LLaMA), Retrieval-Augmented Generation (RAG), and Agentic Frameworks
Build and optimize end-to-end pipelines using Python (Sci-kit Learn, Pandas, Flask, LangChain), PySpark, T-SQL and SQL
Develop and fine-tune multiple GenAI models for NLP, summarization, prompt engineering, and conversational AI
Apply MLOps best practices: model versioning, drift analysis, quantization, MLFlow, containerization with Docker, and CI/CD pipelines
Work with cloud platforms: Azure (Databricks, ML Studio, Data Factory, Data Lake, Delta Tables), AWS, and GCP for scalable deployments
Integrate data warehousing solutions like Snowflake and manage large-scale data pipelines
Collaborate in an Agile environment, participate in sprint planning, and maintain code repositories using GitHub/Git
Ensure compliance with security and governance standards for healthcare data
Coach and mentor junior team members
Qualification
Required
5 years of hands-on experience in AI/ML techniques like Prompt Engineering, RAG (Retrieval Augmented Generation) and Agentic AI
Solid expertise in Python, PySpark, T-SQL, SQL, and big data technologies (Hadoop, Spark)
Proven deep knowledge of statistics, data modeling, and simulation
Hands-on experience with Generative AI frameworks/architectures (LangChain, HuggingFace, OpenAI APIs)
Proficiency in cloud technologies: Azure (Databricks, ML Studio), AWS Bedrock, Azure Foundry, Kafka, and cloud-native AI services
Demonstrated familiarity with CI/CD pipelines, GitHub Actions, and containerization tools
Proven excellent problem-solving skills and ability to handle ambiguity
Proven solid understanding of LLM security, prompt engineering, and responsible AI practices
Preferred
Experience with LLMs (GPT, Gemini, LLaMA) and prompt-based learning
Knowledge of Kafka, TensorFlow, and advanced deep learning architectures (CNNs, Autoencoders)
Solid understanding of Agile methodologies and DevOps practices
Internal Data management and Big data handling experience
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Benefits
Retirement
Company
ChatGPT Jobs
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2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase