Senior Technical Staff Member - Machine Learning
athenahealth · Pune
- Experience4–7 yrs
- SalaryNot disclosed
- Work modehybrid
- Levelmid
- Posted14 Sept 2026
About athenahealth
athenahealth is hiring in Pune in healthcare. This role looks for around 4+ years of experience.
Skills
- Machine Learning
- Python
- SQL
- Unix
- Statistics
- Natural Language Processing
- Computer Vision
The role
A machine learning engineer at a healthcare technology company develops and deploys machine learning models for healthcare products, applying deep learning and natural language processing to production services. The role also uses Python and AWS for model implementation and cloud deployment.
Full job description
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 Data Science team with the Analytics and AI division. You will work with the team to develop and deploy machine learning models across a variety of healthcare products and domains.
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 data science team is bringing machine learning to bear against the hardest problems in healthcare. We are working with product and engineering leaders across the company to build machine learning into our Best In KLAS suite of products. We work hand-in-hand with platform engineers to deploy state-of-the-art machine learning models using cloud technologies.
Job Responsibilities
As a member of the Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following:
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 data science team standards
Typical Qualifications:
Bachelors or Masters in relevant field: Math, Computer Science, Data Science, Statistics, or related field
3-5 years of professional hands-on experience in developing, evaluating & deploying machine learning models
Experience with Python, SQL , Unix
Experience with development and implementation of Deep Learning Models with complex neural network architectures is a bonus
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
Excellent verbal communication and writing skills