ML Engineer - REMOTE

Role : ML Engineer

Location : REMOTE

As an ML Engineer , you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards .

Responsibilities : -

• Partner with business stakeholders to identify opportunities for automating business processes using machine learning and AI.
• Collaborate with project managers, DevOps, and engineering teams to coordinate model development, deployment, and monitoring.
• Design, develop, and optimize machine learning models and algorithms for various business use cases.
• Analyze complex datasets to extract actionable insights and build predictive models.
• Write clean, efficient, and scalable code using Python, Spark, Scala, R, and Java.
• Deploy ML models in production environments using CI / CD pipelines and containerization tools.
• Monitor and maintain model performance, retraining as needed.
• Deliver analytics solutions and insights to clients, supporting data-driven decision-making.
• Create dashboards and visualizations using Tableau to communicate insights effectively.
• Utilize cloud ML platforms such as AWS SageMaker, Azure ML, or Google Cloud AI for scalable model development.
• Apply best practices in version control, testing, and documentation using Git and shell scripting.
• Ensure robust software architecture and data modeling practices are followed.

Required Skills : -

Preferred Skills : -