Senior Machine Learning Engineer - Clinical Foundations
About The Position
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. We are looking for a Machine Learning Engineer to join the Clinical Foundations data science zone. The zone through collaboration and innovation, identifies, develops accelerate the integration of machine learning technics in Clinicals R&D - our clinicians and patients experience with athenaOne. This role focuses on developing customized models and innovative solutions which can integrate into various workflows, ensuring high reliability, security and scalability by following best practices. About you You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. About the team The athenaClinicals product is a vital component of the athenaOne platform, enabling best experience for our clients and users. The Data Science team is bringing machine learning to bear in automating existing workflows and create more efficient ones. We are working with other engineering leaders in athenaClinicals product to build machine learning into our Best in KLAS suite of products to drive innovation and increase automation. Also, this team is responsible to deploy state-of-the-art machine learning models using cloud technologies.
Requirements
- Bachelors or Masters in relevant field: Math, Computer Science, Data Science, Statistics, or related field
- 4-6 years of professional hands-on experience in developing evaluating & deploying machine learning models
- Strong software engineering foundations, with expertise in Python and experience developing production-quality systems using best practices in testing, modularity, and documentation
- Provide technical & thought leadership, designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions
- Excellent verbal communication and writing skills
- Passion for staying current with AI research and applying novel techniques responsibly in production
- Understanding of ethics, fairness, and compliance implications of Ai
Nice To Haves
- Experience with training & fine tuning LLMs & GenAI models is a bonus
- Familiarity with NLP or computer vision techniques
- Experience using the AWS ecosystem a bonus, including Kubernetes, Kubeflow or EKS experience
- Familiarity with large-scale data processing frameworks and ETL pipelines (e.g., Spark)
Responsibilities
- Identify opportunities for different machine learning techniques and evaluate which are best
- Assist in developing and deploying ML-based production services to our clients
- Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so
- Apply rigorous testing of statistics, models, and code
- Contribute to the development of internal tools and AI team standards
- Advocate for responsible AI-focusing on fairness, transparency, and data privacy
- Actively participate in technical design discussions and propose innovative solutions to complex challenges
- Provide timely and constructive code reviews
- Mentor and guide fellow engineers, fostering a culture of continuous learning and innovation
Benefits
- Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborativeâ¯â¯workspaces⯠- some offices even welcome dogs.
- We also encourage a better work-life balance for athenistas with our flexibility.
- In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Number of Employees
5,001-10,000 employees
