Lead Member of Technical Staff- Machine Learning & AI
Bangalore - Whitefield India
athenahealth
Join 150K providers on the largest connected network in healthcare. See how we’re making connections that improve patient outcomes & clinician experiences.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 Lead Machine Learning Engineer to join the Data Science team with the athena.intelligence division. You will be responsible for the end-to-end development and deployment of machine learning models across a variety of healthcare products and domains, develop roadmaps for development and implementation of data science initiatives, and work collaboratively to influence product and engineering stakeholders.
About you:
You love to own important work and find it difficult to turn down a good challenge. You have a strong track record of development and evaluation of ML models, and leading projects or teams in development of ML models. You excel at building relationships and influencing at senior leadership levels and possess an eagerness to learn and disseminate new knowledge. You have strong communication skills and enjoy working 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 leader of the Data Science team, you are expected to
· Stay abreast and evaluate the latest in data science technologies and determine how to incorporate these into our data science best practices
· Integrate with and broadly support the data science team in executing developed roadmaps; identify and document project dependencies; coordinate efforts across the team to ensure completion and effectiveness
· Contribute to the training and development of junior staff members
· Develop and follow conventions and best practices for modeling, coding, architecture, and statistics; hold other team members accountable for doing so
· Contribute to the development of internal tools and data science team standards
· Work collaboratively across the Infrastructure, Platform, UX, and Product organizations to ensure alignment towards business goals
Typical Qualifications:
· Advanced degree (PHD, MS) in relevant field. For example, but not limited to: math, computer science, computer science, data science
· 5+ years of professional experience designing, building, training, deploying and evaluating machine learning models in production software environments at scale
· 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.
· Experience collaborating with cross functional teams or leading cross functional efforts
· Proficiency with python strongly preferred
· Have strong NLP skills or computer vision experience,
· AWS experience strongly preferred
About athenahealth
Here’s our vision: To create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
What’s unique about our locations?
From an historic, 19th century arsenal to a converted, landmark power plant, all of athenahealth’s offices were carefully chosen to represent our innovative spirit and promote the most positive and productive work environment for our teams. Our 10 offices across the United States and India — plus numerous remote employees — all work to modernize the healthcare experience, together.
Our company culture might be our best feature.
We don't take ourselves too seriously. But our work? That’s another story. athenahealth develops and implements products and services that support US healthcare: It’s our chance to create healthier futures for ourselves, for our family and friends, for everyone.
Our vibrant and talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our goal. We continue to expand our workforce with amazing people who bring diverse backgrounds, experiences, and perspectives at every level, and foster an environment where every athenista feels comfortable bringing their best selves to work.
Our size makes a difference, too: We are small enough that your individual contributions will stand out — but large enough to grow your career with our resources and established business stability.
Giving back is integral to our culture. Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future. As part of the evolution of athenahealth’s Corporate Social Responsibility (CSR) program, we’ve selected nonprofit partners that align with our purpose and let us foster long-term partnerships for charitable giving, employee volunteerism, insight sharing, collaboration, and cross-team engagement.
What can we 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.
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. And 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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Athena AWS Computer Science Computer Vision Deep Learning Engineering Excel Generative AI LLMs Machine Learning Mathematics ML models NLP Nonprofit PhD Python Security Spark Statistics STEM UX
Perks/benefits: Career development Health care Salary bonus Team events
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