Senior Member of Technical Staff- Machine Learning

Athenahealth India; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

athenahealth India is seeking a Machine Learning Engineer to join the Data Science team within the Analytics and AI division. You will develop and deploy ML models across healthcare products and domains, collaborating with product and engineering leaders to embed ML into our Best In KLAS suite.

You will evaluate techniques, build production services, and adhere to best practices in modeling, coding, and statistics while communicating effectively with diverse teams and stakeholders.

Qualifications

• Bachelor's or Master's in Math, Computer Science, Data Science, Statistics, or related field.
• 5-8 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.

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.

Skills

Python

SQL

Unix

Deep Learning

LLMs

GenAI

NLP

Computer Vision

AWS

Kubeflow

EKS

Kubernetes

Communication

Verbal skills

Education

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

Tools

AWS

Kubeflow

EKS

Kubernetes

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

• 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
• 5-8 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

About athenahealth

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.

Our company culture

Our talentedemployees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.

Our DEI commitment

Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.

What we can do for you:

• commuter support
• employee assistance programs
• tuition assistance
• employee resource groups
• collaborative workspaces
• some offices even welcome dogs
• book clubs
• external speakers
• hackathons

We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.

Learn more about our culture and benefits here: athenahealth.com/careers https://www.athenahealth.com/careers/equal-opportunity

United by our mission and driven by our entrepreneurial spirit, our work at athenahealth is collaborative, transformative, and above all, it’s meaningful. Our employees take pride in using technology and data-driven insights to inspire changes that will make the U.S. healthcare system better for everyone, including your friends, family and maybe even you.