Senior Member of Technical Staff-Machine Learning

athenahealth; Pune District; On-site; INR 1,800,000 - 3,400,000; Full time

Job summary

athenahealth invites a Machine Learning Engineer to join its Data Science team within Analytics and AI. You will develop and deploy ML models across healthcare products in collaboration with product and engineering teams.

Ideal candidates bring 3–5 years of hands-on ML experience, Python/SQL, and familiarity with deep learning, NLP or computer vision. Knowledge of AWS/Kubernetes/Kubeflow is a plus, and strong communication skills are essential.

Qualifications

• Bachelor's or Master's in Math, CS, Data Science, Statistics or related field.
• 3-5 years of hands-on ML model development, evaluation and deployment.
• Proficiency in Python, SQL, and Unix environments.
• Experience with Deep Learning architectures; NLP or CV familiarity is a plus.
• Experience with AWS ecosystem and ML deployment on cloud platforms.

Responsibilities

• Identify ML opportunities and evaluate suitable techniques.
• Develop and deploy ML-based production services for healthcare products.
• Follow modeling, coding, architecture, and statistics best practices.
• Conduct rigorous testing of models and code.
• Contribute to internal tools and team data science standards.

Skills

Python

SQL

Unix

Deep Learning

LLMs & GenAI

NLP & CV

AWS Cloud

Communication

Education

Bachelor's or Master's in Math/CS/Data Science/Statistics

Tools

Kubernetes

Kubeflow

EKS

PyTorch

Job description

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