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Senior Member Of Technical Staff- Machine Learning

athenahealth · Pune

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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