MLOps Engineer (Machine Learning Deployment) | Remote | Contractor | English Required

We are looking for an experienced MLOps Engineer to join a leading biopharmaceutical company focused on AI-driven innovation in drug discovery.

This role is focused on designing, deploying, and scaling machine learning models in production environments.

Responsibilities:

• Own and manage ML deployment pipelines end-to-end
• Design scalable and cost-efficient deployment strategies
• Containerize and deploy models using Docker
• Build and maintain MLOps pipelines and infrastructure
• Implement CI/CD, testing, and best practices
• Ensure security and access control for proprietary data
• Collaborate with cross-functional teams and drive improvements

Requirements:

• 5+ years of experience in MLOps or similar roles
• Proven experience deploying ML models to production
• Strong experience with Docker, Linux, and distributed systems
• Experience with AWS services (S3, EC2, etc.)
• Hands-on experience with Terraform (IaC)
• Experience with SQL databases
• Solid software engineering and system design skills

Nice to have:

• Experience with PyTorch or deep learning models
• Experience in healthcare/pharma environments
• Experience building ML pipelines from scratch