Techsophy - MLOps Engineer

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.
• Strong 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.