Machine Learning Engineer

Experience : 5+ Years Location : Remote

As a Machine Learning Engineer , you will work as part of an Agile team to build cutting-edge healthcare applications and implement new features while following industry best practices and coding standards.

What's in it for you?

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 into production using CI / CD pipelines and containerization tools.
• Continuously monitor and maintain model performance, implementing retraining as necessary.
• Deliver analytics solutions and insights to clients, enabling data-driven decision-making.
• Build dashboards and visualizations using Tableau to effectively communicate insights.
• Leverage cloud ML platforms (AWS SageMaker, Azure ML, or Google Cloud AI) for scalable model development.
• Follow best practices in version control, testing, and documentation using Git and shell scripting.
• Ensure adherence to robust software architecture and data modeling standards.

Required Skills

Preferred Skills

Educational Qualifications

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