Pune India
Live, first seen by us 66 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Identify where different machine learning techniques fit and evaluate which work best
Assist in developing and deploying ML-based production services to clients
Apply rigorous testing to statistics, models, and code
Enforce modeling, coding, and statistics best practices with team members
Contribute to internal tools and data science team standards
Identify opportunities for different machine learning techniques and evaluate which are best
Assist in developing and deploying ML-based production services to our clients
Apply rigorous testing of statistics, models, and code
hold other team members accountable for doing so
Contribute to the development of internal tools and data science team standards
3-5 years of professional hands-on experience in developing, evaluating & deploying machine learning models
Bachelors or Masters in relevant field: Math, Computer Science, Data Science, Statistics, or related field
Experience with Python, SQL , Unix
Excellent verbal communication and writing skills
We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.
In the employer’s words · Read in context
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Day 66
Similar jobs usually come down between day 8 and day 76.
Well past Athenahealth’s usual: its jobs come down by about day 28.
From 5,460 similar postings that came down, and 27 of Athenahealth’s. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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· 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
· 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
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Yes. We’ve followed 2 other Senior Member Of Technical Staff- Machine Learning jobs there since September 2026. One came down after 61 days. One is still up.
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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
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
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 talented employees — 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:
Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.
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.
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.
Learn more about our culture and benefits here: athenahealth.com/careers
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Pune India
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