Senior Member Of Technical Staff- Machine Learning
athenahealth · Pune
Collected role description
Role overview
Senior Member Of Technical Staff- Machine Learning at athenahealth
You will work with the team to develop and deploy machine learning models across a variety of healthcare products and domains.
Employment details
- Location: Pune [Mahārāshtra] [India]
Application details
- Apply rigorous testing of statistics, models, and code.
Benefits
- Finally, you have a strong interest in improving healthcare.
Additional role details
- 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.
- 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.
- Contribute to the development of internal tools and data science team standards.
- 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.
Collected experience requirement
3 - 5 years