Lead Member of Technical Staff – Lead AI/ML
Chennai 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.
Job Title: Lead Member Technical Staff – Lead AI/ML Engineer
About Us:
Athenahealth is a leading provider of cloud-based services for healthcare systems, dedicated to transforming the way healthcare is delivered and managed. Founded in 1997, the company focuses on providing innovative solutions that enhance the efficiency and effectiveness of healthcare providers, enabling them to deliver better patient care.
Athenahealth is a forward-thinking organization dedicated to leveraging cutting-edge technology to drive innovation and deliver exceptional solutions. We are seeking a talented Lead AI/ML Engineer to join our dynamic team and lead the development of advanced machine learning models and AI solutions.
Job Summary:
As the Lead AI/ML Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions.
Key Responsibilities:
- Lead the design and development of machine learning models and AI solutions to solve business problems.
- Select appropriate machine learning or deep learning models based on problem context and data availability.
- Develop, train, test, and validate models using state-of-the-art methodologies and frameworks.
- Collaborate with analytics, developers and domain experts to acquire, clean, and preprocess large datasets.
- Engineer features and performs exploratory data analysis to ensure data quality and model readiness.
- Containerize models (Docker/Kubernetes), implement monitoring (Prometheus/Grafana), and automate pipelines (MLflow/Kubeflow).
- Implement models into production environments, ensuring robustness, scalability, and maintainability.
- Develop and maintain CI/CD pipelines for seamless model integration and deployment.
- Monitor and evaluate model performance post-deployment and iterate based on feedback and performance metrics.
- Document model architecture, development processes, and performance evaluations thoroughly.
- Share insights and technical know-how with team members to foster a culture of continuous learning and improvement.
- Research & Innovation: Stay ahead of AI trends (LLMs, generative AI) and advocate for ethical AI practices.
- Analyze large datasets to extract insights and improve model performance.
- Ensure compliance with data privacy and security regulations in all AI/ML initiatives.
Qualifications:
- Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field.
- Proven experience (5+ years) in AI/ML engineering, with a strong portfolio of successful projects.
- Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI strategy Architecture AWS Azure CI/CD Computer Science Data analysis Data quality Deep Learning Docker EDA Engineering GCP Generative AI Google Cloud Grafana Java Kubeflow Kubernetes LLMs Machine Learning MLFlow ML models Pipelines Privacy Python PyTorch R Research Scikit-learn Security Spark Statistical modeling Statistics TensorFlow
Perks/benefits: Career development Health care Team events
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