[Remote] Associate AI/ML Engineer

Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The Associate AI/ML Engineer will design, develop, and deploy artificial intelligence and machine learning solutions, including GenAI models, LLM applications, agentic frameworks, and Python inference APIs for enterprise healthcare data.

Responsibilities

• Design, develop, and validate machine learning models using GenAI (LLMs, agentic frameworks) and traditional ML techniques on cloud platforms
• Write and deploy scalable Python APIs for model inference running on Kubernetes, ensuring efficient containerization and orchestration of agentic flows
• Develop and optimize Python-based analytical and machine learning solutions, leveraging libraries such as Pandas, NumPy, Scikit-learn, and Databricks to perform data analysis, build predictive models, and generate actionable business insights from large-scale datasets
• Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
• Evaluate emerging technology trends and best practices to inform solution design, architecture, and strategic innovation
• Leverage enterprise-approved AI tools to streamline developer workflows, automate tasks, and drive continuous software delivery improvement
• Utilize agentic coding and version control tools (e.g., GitHub Copilot, Claude) for efficient code creation, repository management, and technical collaboration
• Maintain rigorous coding standards, thorough documentation, and effective performance monitoring across all deployed AI/ML pipelines

Skills

• 2+ years of experience in software development, machine learning, data science, analytics, or AI/ML engineering
• 2+ years of professional experience in Python using core data science, analytics, and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, Databricks)
• 2+ years of advanced SQL experience, including complex query development, data analysis, performance optimization, data validation, and deriving business insights from large-scale datasets
• 2+ years of experience applying machine learning techniques in enterprise environments, including supervised learning, unsupervised learning, statistical modelling, feature engineering, and model evaluation
• 2+ years of experience developing and deploying NLP or Generative AI solutions, including Transformers, GPT models, Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering in production environments
• 1+ years of experience building, deploying, and maintaining RESTful APIs for machine learning or Generative AI model inference
• Bachelor's degree or equivalent experience
• Strong analytical, quantitative, problem-solving, and critical thinking skills
• Strong written and verbal communication skills, including the ability to present detailed technical analyses to diverse technical and business stakeholders
• Experience with vision and speech models in GenAI (multimodal architectures)
• Background in healthcare data analytics (e.g., claims, eligibility, enrollment) and working within regulated compliance environments
• Hands-on experience with containerization and container orchestration technologies such as Docker and Kubernetes
• Experience utilizing AI-assisted developer and coding tools to accelerate software production and technical documentation
• Demonstrated familiarity with agentic frameworks, Model Context Protocol (MCP), and Agent-to-Agent (A2A) architectures
• Strong analytical and problem-solving skills with the ability to translate complex business problems into data-driven solutions and actionable insights
• Experience working with large structured and unstructured datasets, performing exploratory data analysis, data quality assessments, and root-cause investigations

Benefits

• Flexibility to telecommute from anywhere within the U.S.
• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution (all benefits are subject to eligibility requirements)
• Career development opportunities

Company Overview

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