.. Typescript skills - Should be familiar with configuring bundlers such as webpack/vite, using various loaders and pollyfills. - Familiar with PWA - Familiar with Microfrontends. - Strong NodeJS backend skills and using NodeJS/Express for building API's with Mongo and as a api proxy. - Familiar with using .. read more
Role: MLOps Engineer
Total Experience: 6 years
Job Location- Pune
Role Description
Looking for an experienced and motivated GCP evangelist who will work as MLOps Engineer and will be designing, developing, and maintaining the infrastructure and workflows necessary to support the deployment and scaling of multiple concurrent machine learning services. The ideal candidate for this role should has expertise in MLOps, automation, optimisation, and cloud infrastructure which will be essential in scaling our machine learning capabilities
Job Description
• Overall, more than 8 years of experience working as MLOps engineer
• Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)
• Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools.
• Communicate with a team of data scientists, data engineers and architect, document the processes.
• Knowledgeable on agile practices.
• ML Model Deployment: Assist in deploying machine learning models into production environments.
• AI ML pipeline and model Monitoring: Contribute to the monitoring and maintenance of model performance and infrastructure health
• Automation: Participate in the development and maintenance of automated MLOps pipelines
• Collaboration: Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Documentation: Maintain documentation of MLOps processes and procedures.
• Work closely with members of technology teams in the development, and implementation of Enterprise AI platform
• Problem Solving: Assist in troubleshooting and resolving MLOps-related issues.
• Good to have experience with contributing to GitHub and open source initiatives or in research projects
• Ability to quickly, efficiently, and effectively define and prototype solutions with continual iteration within aggressive product deadlines.