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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

Apply NOW

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