Azure MLOps Engineer - Data Modeling

Job Description : Required skills : - 10 years of professional experience in building applications using cloud services. - Prior experience in building Machine Learning platforms using cloud services. Cloud expertise : - Deep knowledge of cloud platforms like AWS, Google Cloud Platform, or Azure, including their machine learning and data services (Azure preferred). DevOps skills : - Experience with CI/CD pipelines, infrastructure as code, and containerization technologies like Docker and Kubernetes. Machine learning knowledge : - Understanding of ML workflows, model training, and deployment processes. Data engineering : - Familiarity with data pipelines, ETL processes, and data storage solutions. Software engineering : - Strong programming skills, particularly in languages commonly used in ML like Python. System design : - Ability to architect scalable, reliable systems that integrate various services. Automation : - Expertise in automating workflows and processes across the ML lifecycle. Security and compliance : - Knowledge of best practices for securing ML pipelines and ensuring regulatory compliance. Monitoring and logging : - Experience setting up monitoring and logging for ML systems. Collaboration : - Ability to work with data scientists, software engineers, and other stakeholders. Roles & responsibilities : - Evaluate and select appropriate cloud services for each stage of the ML lifecycle - Design and implement the overall architecture of the MLOps platform - Set up automated pipelines for data preparation, model training, and deployment - Implement version control for code, data, and models - Ensure the platform is scalable, secure, and compliant with relevant regulations - Provide tools and interfaces for data scientists to easily leverage the platform - Continuously optimize the platform for performance and cost-efficiency - This role is crucial in bridging the gap between data science and operations, enabling organizations to efficiently develop, deploy, and maintain machine learning models at scale. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/25/2024