Machine Learning Engineer

Job Summary

Focusing on the design and implementation of scalable machine learning solutions, the remote Machine Learning Engineer will develop production-grade models using healthcare and pharmacy data to enhance patient outcomes and optimize operations.

Key responsibilities

• Design, build, deploy, and maintain machine learning models and pipelines using healthcare and pharmacy data
• Collaborate with cross-functional teams to translate business and clinical requirements into effective ML solutions
• Implement MLOps best practices to ensure compliance and optimize model performance for real-time inference

Required qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field
• 3+ years of experience building and deploying machine learning systems in healthcare or pharmacy domains
• Strong proficiency in Python for machine learning and software development
• Experience with Azure cloud services for ML workloads and familiarity with Databricks
• Hands-on experience with ML lifecycle tools for experimentation, deployment, and monitoring