Responsibilities:Optimize machine learning models to improve performance and reduce deployment time.Design and implement automation pipelines for model deployment.Work closely with data scientists to ensure smooth transition from development to production.Monitor and maintain model performance in production environments.Skills Required:Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, etc.).Experience in model optimization, performance tuning, and deployment.Familiarity with cloud platforms (AWS, GCP, Azure).Experience with CI/CD for machine learning models.Preferred Qualifications:Experience with ML model performance metrics and monitoring.Familiarity with containerization tools like Docker.
Job Title
ML ops Engineer