Responsibilities : - Design and develop web-based dashboards for monitoring ML inference services.- Design and develop web-based tools to manage and visualize the Search CI/CD and release workflows.- Onboard new ML models onto the existing platform with standardized training automation and interfaces.- Maintain and enhance CI/CD pipelines for Search and ML services.- Operate sign-off and deployment processes, ensuring daily release sign-off.- Maintain and optimize training data preparation pipelines leveraging the latest big data tools, with an emphasis on cost-effectiveness and reliability.Required Skillset :



- Demonstrated expertise in building and managing end-to-end MLOps pipelines using AWS SageMaker and related cloud-native tools.- Proficiency in containerization technologies such as Docker and Kubernetes for deploying scalable ML services.- Robust programming skills in Python, with a focus on writing clean, maintainable code for data processing and model orchestration.- Ability to communicate complex technical concepts effectively to stakeholders and collaborate within a high-performing, agile team environment.- Experience in managing cloud infrastructure and security best practices within an AWS environment.- A Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field. (ref:hirist.tech)

📌 Techsophy - MLOps Engineer (Hyderabad)
🏢 TECHSOPHY INFORMATION SOLUTIONS PRIVATE
📍 Hyderabad