4.0 - 8.0 years

0 Lacs

noida, uttar pradesh

On-site

Role Overview: You will be responsible for owning the production ML environments and MLOps infrastructure within the infrastructure and data science teams at BOLD. Your role will involve handling day-to-day support, ad-hoc requests, and cross-team projects. You will architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch. Key Responsibilities: - Designing and maintaining end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment, and monitoring. - Productionizing ML/GenAI services, collaborating with data scientists on model serving and workflow optimization. - Implementing monitoring, alerting, and observability to reduce...

Posted 3 weeks ago

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Data Analytics AWS Tata Technologies

3.0 - 7.0 years

0 Lacs

pune, maharashtra

On-site

As a skilled professional in the field of cloud computing and data engineering, you will be responsible for a variety of tasks related to managing data assets, developing ETL pipelines, and exploring machine learning capabilities. Your expertise in technologies such as Git, Kubernetes, Docker, and Helm will be essential in ensuring the smooth functioning of cloud infrastructure on platforms like AWS and Azure. Your role will involve the evaluation and analysis of data using tools like AWS QuickSight, as well as the deployment of machine learning models through AWS MLOps. Proficiency in AWS services such as Glue, QuickSight, SageMaker, Lambda, and Step Functions will be crucial for success in...

Posted 4 months ago

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