Member of Technical Staff- Machine Learning & AI
athenahealth
Compensation
About the role
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 athena.intelligence division. You will work with the team to develop and deploy machine learning models across a variety of healthcare products and domains.
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 data science team standards
Requirements
- Bachelors or Masters in relevant field: math, computer science, data science, economics
- Bachelor's with 2-3 years of professional experience OR masters with 0-2 years of experience in developing, evaluating and deploying machine learning models
- Excellent verbal communication and writing skills
- Experience using machine learning models and libraries, familiarity with NN frameworks a bonus
- Experience with Python, SQL , Unix
- Familiarity with NLP or computer vision techniques
- Experience using the AWS ecosystem a bonus
Benefits
- 401k matching
- Health insurance
- Flight privileges
About the Company
Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
Job Details
Salary Range
Salary not disclosed
Location
Bengaluru, Karnataka, India
Employment Type
Full-time
Original Posting
View on company website