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We provide network-enabled services, mobile apps, and data-driven insights to hospitals and medical organizations.
Senior Software Engineer, AI/ML
Location
Texas
Posted
67 days ago
Salary
$124K - $210K / year
Seniority
Senior
Job Description
Senior Software Engineer, AI/ML
athenahealth
• 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
Job 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.
Benefits
- Health and financial benefits
- Commuter support
- Employee assistance programs
- Tuition assistance
- Employee resource groups
- Collaborative workspaces
- Flexibility for work-life balance
- Participation in events such as book clubs, external speakers, and hackathons
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