Join athenahealth as a Senior Machine Learning Engineer on the Data Science team within the Clinicals division. In this in-person role based in Bangalore, India, you will design, build, and deploy machine learning and deep learning solutions that improve clinical and operational outcomes for healthcare providers. You will partner with product, clinical, data, and engineering teams to move models from research into production and help ensure they are reliable, measurable, and maintainable. This role reports to the Senior Engineering Manager. The Data Science team at athenahealth develops machine learning solutions for healthcare products and workflows. The team collaborates with product managers, clinicians, and engineers to convert clinical and operational challenges into measurable machine learning use cases. The work includes all aspects of the model lifecycle, such as exploratory analysis, feature engineering, model development, evaluation, reproducibility, automated training pipelines, and monitored production deployment. The team utilizes various methods, including supervised learning, deep learning, and generative AI, to address use cases like document understanding, clinical natural language processing, and workflow enhancement. Additionally, the team works closely with platform engineers to implement models using cloud technologies and production orchestration for scalable, observable, and maintainable machine learning across the product portfolio. **Key Responsibilities:**
Develop production-ready machine learning and deep learning models using Python and related libraries. - Implement and evaluate neural network architectures for natural language processing and computer vision use cases in healthcare. - Design and build data pipelines and feature engineering workflows. - Integrate models into scalable production environments using containerization and orchestration patterns. - Optimize model performance, conduct error analysis, and design validation and monitoring processes. - Collaborate with product managers, clinicians, and engineers to translate clinical problems into measurable machine learning solutions and acceptance criteria. - Evaluate deep learning frameworks, transformer-based models, and foundation model approaches to solve product problems. - Apply prompt design and testing practices to improve generative AI outputs and align them with product requirements. - Utilize AI tools in development and analysis workflows to accelerate experimentation, compare model outputs, and validate findings. **Qualifications Required:**
Bachelors or Masters degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related field, or equivalent practical experience. - 58 years of hands-on experience building and deploying machine learning or deep learning models in production. - Proficiency in Python, SQL, and Unix/Linux environments. - Experience with deep learning frameworks like PyTorch or TensorFlow, transformer models, and NLP or computer vision libraries. - Familiarity with NLP or computer vision techniques and evaluation metrics. - Experience with cloud environments and infrastructure is preferred; familiarity with AWS, Kubernetes, Kubeflow, or EKS is a plus. Athanahealth offers IT solutions and expert services to simplify the healthcare industry and provide accessible, high-quality, and sustainable healthcare for all. The company culture is centered around shared values of inclusiveness, accountability, and support, with a diverse workforce of mission-driven problem-solvers. Athanahealth prioritizes diversity, equity, and inclusion in all aspects of its business to address inequities and create an inclusive environment for employees and partners. Employees, known as athenistas, enjoy health and financial benefits, as well as location-specific perks such as commuter support, tuition assistance, and collaborative workspaces. The company supports work-life balance through flexibility and digital collaboration tools, while also providing learning opportunities, engagement, and an inclusive environment. Join athenahealth as a Senior Machine Learning Engineer on the Data Science team within the Clinicals division. In this in-person role based in Bangalore, India, you will design, build, and deploy machine learning and deep learning solutions that improve clinical and operational outcomes for healthcare providers. You will partner with product, clinical, data, and engineering teams to move models from research into production and help ensure they are reliable, measurable, and maintainable. This role reports to the Senior Engineering Manager. The Data Science team at athenahealth develops machine learning solutions for healthcare products and workflows. The team collaborates with product managers, clinicians, and engineers to convert clinical and operational challenges into measurable machine learning use cases. The work includes all aspects of the model lifecycle, such as
