Senior AI/ML Engineer – epocrates

athenahealth • Austin, TX

83d

About The Position

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. athenaHealth epocratesTM is seeking a Senior AI/ML Engineer to design, develop, and deploy advanced AI and ML solutions that enable our platform and mobile apps to transform the connection between pharmaceutical brands and 1million+ healthcare professionals during moment of care. As a multi-hat contributor, you bring a blend of Data Science, AI-Development Life Cycle engineering, and software engineering. Your primary responsibility will be designing, implementing, deploying, and maintaining Machine Learning solutions for a mix of features across multiple product areas. Experience building, deploying, and maintaining ML systems is required for classical AI models (examples: classifications, tagging, segmentation). Familiarity with Generative AI, Agentic AI, and the tooling to deploy these solutions in production software is highly desirable. Beyond AI model and pipeline work, you will serve as an advocate, and trusted partner within our subdivision: consulting with teams on their AI/ML approaches and evangelizing concepts across the organization in this dynamic field.

Requirements

• Bachelor’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science/Engineering, or a related technical field
• 3+ years in technology or software development, with at least 1 year specializing in ML/AI and Data Science roles
• Technical comprehension of Classical AI/ML algorithms, deep learning, Natural Language Understanding and Processing, Generative AI such as GPT and BERT, Large Language Model, LangChain and LangGraph
• Proven track record developing and deploying scalable AI/ML systems and pipelines in production using AWS
• Proficiency in Python and a working knowledge of JVM language/services
• Proficiency in working with SQL and non-SQL data
• Experience with at least one major ML framework (e.g., TensorFlow, PyTorch)
• Practical experience taking models from prototype to production; familiarity with AWS SageMaker is a plus
• Experience in MLOps and Machine Learning workflow orchestration
• Excellent communication and interpersonal skills
• Passion for staying current with AI research and applying novel techniques responsibly in production

Responsibilities

• Participate in development of end-to-end AI/ML projects—from research and design to deployment and ongoing maintenance—ensuring scalable, production-ready systems
• Help implement robust ML pipelines and production-grade infrastructure to support high-volume workloads
• Partner with cross-functional teams to integrate AI capabilities aligned with business goals and customer needs
• Research and prototype novel AI/ML algorithms and techniques to drive innovation
• Help establish best practices for AI/ML development, deployment, monitoring, and governance
• Monitor model performance, scalability, and cost in production, and drive continuous optimization
• Advocate for responsible AI—focusing on fairness, transparency, and data privacy

Benefits

• Health and financial benefits
• Commuter support
• Employee assistance programs
• Tuition assistance
• Employee resource groups
• Collaborative workspaces
• Flexibility in work-life balance
• Sponsorship of events throughout the year, including book clubs, external speakers, and hackathons

What This Job Offers

• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees