Senior ML Ops Engineer

Job Summary

A company is looking for a Sr. ML Ops Engineer to develop and maintain machine learning pipelines and automate workflows in a healthcare-focused environment.

Key Responsibilities

• Develop and maintain scalable machine learning pipelines from development to production
• Automate workflows for data preprocessing, model training, evaluation, and deployment
• Monitor and optimize the performance of ML models in production

Required Qualifications

• Deep knowledge of traditional and deep learning ML concepts, including NLP experience
• Proficiency in JVM languages and familiarity with CI/CD tools
• Experience with containerization (e.g., Docker) and cloud-based ML platforms
• Experience using deep learning frameworks such as TensorFlow or PyTorch
• Familiarity with clinical data concepts and experience in model training automation