Job Description

:Roles and Responsibilities:

• Lead the development and implementation of DevOps and MLOps pipelines for applications and AI/ML models respectively.
• Manage the setup and maintenance of Azure Kubernetes clusters to ensure smooth operations.
• Collaborate with the security team to manage penetration testing and enhance the security of the systems. Maintain network operations to ensure seamless connectivity and minimal downtime.
• Utilize machine learning operations (MLOps) skills to optimize AI/ML models and improve their performance.
• Oversee the design and implementation of cloud and system architectures to support business operations. Implement DevOps practices to streamline software development and deployment processes.
• Coordinate with cross-functional teams to understand their requirements and provide technical solutions.
• Monitor system performance and implement necessary changes to enhance efficiency and reduce downtime.
• Ensure adherence to industry standards and best practices in all DevOps and MLOps activities.
• Troubleshoot complex technical issues and provide timely solutions to ensure minimal disruption to operations.
• Evaluate and recommend new technologies and tools to improve the efficiency and effectiveness of operations.

• Hold a Master of Technology (M.Tech) or Bachelor of Technology (B.Tech) degree from a recognized institution.
• Possess 5-7 years of experience in a DevOps role, with a focus on MLOps and Azure Kubernetes. Have experience in setting up DevOps pipelines for applications and MLOps pipelines for AI/ML models.
• Demonstrate proficiency in DevOps, Machine Learning Operations (MLOps), and Azure Kubernetes
• Possess knowledge of architecture, including networking details, and have experience in managing Kubernetes clusters.

• Exhibit good-to-have skills in cloud architecture, system architecture, and maintaining network operations.
• Experience with Data Base management and administration
• Have the ability to work with a security team to manage penetration testing and other security measures.
• Show a strong understanding of industry standards and best practices in DevOps and MLOps.
• Possess certifications like Certified Kubernetes Administrator (CKA), Certified DevOps Engineer, or similar.
• Demonstrate strong project management skills and the ability to manage multiple tasks simultaneously.

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