6.0 - 10.0 years

0 Lacs

hyderabad, telangana

On-site

Role Overview: As an ML/Ops Engineer with 6+ years of experience, your primary responsibility will be to analyze, design, develop, and manage data pipelines to release scalable Data Science models. You will be expected to deploy, monitor, and operate production-grade AI systems in a scalable, automated, and repeatable manner. Key Responsibilities: - Create and maintain scalable code to deliver AI/ML processes. - Design and implement pipelines for building and deployment of ML models. - Develop dashboards for system monitoring. - Collect metrics and establish alerts based on them. - Design and execute performance tests. - Conduct feasibility studies/analysis with a critical perspective. - Sup...

Posted 6 days ago

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Mlops Engineer EXL

4.0 - 9.0 years

4 - 9 Lacs

Noida, Uttar Pradesh, India

On-site

Model Deployment and Management: Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale. Monitor real-time performance of deployed models, analyze data, and proactively address performance issues. Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability. Collaboration and Integration: Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization. Work closely with ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and autom...

Posted 1 month ago

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