Description

You will build and maintain machine learning systems in production, focusing on healthcare data integration and generative AI applications.

This role is remote.

Responsibilities

• Develop and deploy ML models, including NLP and LLM-based solutions, into production environments.
• Integrate machine learning pipelines with Electronic Health Record (EHR) systems.
• Implement MLOps practices using CI/CD tools like GitHub Actions for model deployment and monitoring.
• Build scalable infrastructure using Terraform, Docker, and Kubernetes.
• Apply RAG frameworks and predictive modeling techniques to solve real-time data science problems.

Required Skills

• 5+ years of experience in Machine Learning Engineering.
• Strong proficiency in Python and R for data analysis and model development.
• Experience with SQL for database interactions and data manipulation.
• Hands-on experience with cloud platforms: AWS, GCP, or Azure.
• Proficiency in containerization and orchestration using Docker and Kubernetes.
• Familiarity with Infrastructure as Code tools, specifically Terraform.
• Experience with NLP, predictive modeling, and LLM frameworks.
• Knowledge of EHR integration and healthcare domain data structures.

Preferred Skills

• Master’s degree in Computer Science, Machine Learning, or related field.
• Deep experience with scalable infrastructure design and containerization.

Key Skills

Education

Any Graduate