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Machine Learning Engineer

1 week ago

Chennai, Tamil Nadu, India athenahealth Full time
Athenahealth Job Description
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. As a key member of our organization, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. In this role, you will work closely with cross-functional teams to drive the successful deployment of AI initiatives and shape our AI strategy.

About Us
Athenahealth is a leading provider of cloud-based services for healthcare systems, dedicated to transforming the way healthcare is delivered and managed. Our company culture is built on innovation, collaboration, and a commitment to delivering exceptional results. We believe in fostering an environment where every employee feels comfortable bringing their best selves to work and growing their career with our resources and established business stability.

Key Responsibilities
- Design and develop 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 perform 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.

Requirements
- Bachelors or masters degree in computer science, Data Science, Machine Learning, or a related field.
- Proven experience (3+ 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)

Athenahealth Culture
We value diversity, equity, and inclusion and strive to create a workplace where everyone feels welcome and valued. We offer a range of benefits and perks, including health and financial benefits, commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces. We also encourage a better work-life balance with flexible working arrangements and digital collaboration tools.