AI/ML Engineer

Ethic Leaf LLC

Full-time AI/ML Engineer

$98K/yr – $176K/yr

4+ years of software development, data engineering, or AI/ML experienceIT & TechnologyPosted 10d ago

Role overview

Job type

Full-time

Salary

$98K/yr – $176K/yr

Location

4+ years of software development, data engineering, or AI/ML experience

Sector

IT & Technology

Role

AI/ML Engineer

Posted

10 days ago

Job description

Optum is hiring an AI/ML Engineer to design, build, and deploy AI and machine learning capabilities for healthcare operations. The role focuses on GenAI and traditional ML models, scalable Python inference APIs, semantic search, and AI solutions across 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

• Implement and integrate semantic search capabilities to enhance data accessibility and retrieval for analytics and business intelligence

• 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

• Preferred

• 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

• Generative AI Models

• Multimodal Architectures

• Vision Models

• Speech Models

• Healthcare Data Analytics

• Claims Data

• Eligibility Data

• Enrollment Data

• Regulatory Compliance

• Docker

• Kubernetes

• AI-Assisted Development Tools

• Coding Tools

• Software Production

• Technical Documentation

• Agentic Frameworks

• Model Context Protocol (MCP)

• Agent-to-Agent (A2A) Architectures

• Analytical Skills

• Quantitative Skills

• Problem-Solving

• Critical Thinking

• Written Communication

• Verbal Communication

• Presentation Skills

• Stakeholder Communication

Benefits

• Flexible telecommuting from anywhere within the U.S.

• A comprehensive benefits package (subject to eligibility requirements)

• Incentive and recognition programs (subject to eligibility requirements)

• Equity stock purchase (subject to eligibility requirements)

• 401k contribution (subject to eligibility requirements)

• Company

• Health care services and prescription management

• Eden Prairie, Minnesota, USA

• Founded in 1985

• 10001+ employees

Qualifications

• 4+ years of software development, data engineering, or AI/ML experience

• 4+ years of professional experience in Python using core data science and machine learning libraries (e.g., scikit-learn, Databricks)

• 3+ years of experience applying machine learning techniques in a commercial enterprise, including supervised/unsupervised learning, time-series forecasting, or statistical analysis

• 2+ years of experience applying NLP (transformers, GPT) or LLMs (RAG, vector databases, embeddings) in a production setting with large-scale datasets

• 1+ years of experience building, deploying, and maintaining RESTful APIs for machine learning 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

• Required skills

• Python, Machine Learning, scikit-learn, Databricks, Natural Language Processing, Large Language Models, Retrieval-Augmented Generation (RAG), Vector Databases, RESTful APIs, Docker, Kubernetes, Agentic Frameworks, Model Context Protocol (MCP), Agent-to-Agent (A2A), Healthcare Data Analytics

• Preferred skills

• Bachelor's degree or equivalent experience

Experience

• 4+ years

• Interested in this role?

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