MLOps Engineer

Operationalize machine learning models with robust deployment and monitoring.

Responsibilities

• Own key deliverables for the analytics team in Gurgaon.

• Collaborate with cross-functional stakeholders to ship high-quality outcomes.

• Contribute to process improvements, documentation, and team best practices.

• Support hiring, mentoring, or customer-facing activities as needed for the role.

  Requirements

• Experience with ML model deployment pipelines

• Knowledge of containerization and orchestration

• Familiarity with model versioning and monitoring

• Strong DevOps and scripting skills

  Skills

• MLOps

• Docker

• Kubernetes

• Model Monitoring

• CI/CD

  Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.