Job Summary
We are seeking an experienced ML Ops Engineer to design, implement, and optimize scalable machine learning infrastructures and processes across multiple phases of the pharmaceutical value chain. The role involves close collaboration with data scientists and IT teams to ensure secure, efficient, and compliant deployment of ML solutions within complex enterprise environments.
Key Responsibilities
* Collaborate with data scientists, IT teams, and business stakeholders to deliver production-ready, GxP-compliant ML models.
* Support and enhance MLOps frameworks and DevOps practices for efficient deployment of ML projects.
* Monitor the performance of ML systems in production and ensure continuous optimization.
* Design, build, and maintain scalable ML pipelines using cloud platforms such as AWS, Azure, or GCP.
* Automate training, validation, deployment, and monitoring steps for ML models.
* Ensure reproducibility, traceability, and compliance of ML solutions in regulated environments