Machine Learning Engineer - Remote

Overview

The Machine Learning Engineer will own the end-to-end lifecycle of AI/ML solutions, working within a dynamic team to deliver scalable and innovative healthcare solutions.

In Short

• Own the lifecycle of AI/ML solutions from research to deployment.
• Design and develop advanced ML models for healthcare applications.
• Implement retrieval-augmented generation pipelines and vector search.
• Build production-grade ML pipelines with CI/CD and cloud deployment.
• Establish best practices for ML engineering and model governance.
• Integrate AI solutions into existing digital systems.
• Collaborate with vendors for third-party AI solutions.
• Monitor and optimize model performance continuously.
• Stay updated on emerging AI technologies.
• Document architecture and workflows for maintainability.

Requirements

• Bachelor’s or Master’s degree in Computer Science or related field.
• 3+ years of experience in ML engineering or applied AI roles.
• Strong proficiency in Python and ML frameworks.
• Hands-on experience with LLMs and prompt engineering.
• Experience with Salesforce Sales and Marketing cloud.
• Familiarity with data pipeline tools and vector databases.

Benefits

• Flexible work-from-home and office options.
• Free coffee and snacks.
• Access to wellness programs and discounted services.
• Comprehensive health plans and retirement saving matches.
• Career growth opportunities and professional development.
• Recognition through manager appreciation and awards.