4 - 7 years

8.0 - 15.0 Lacs P.A.

Gurgaon

Posted:2 months ago| Platform: Naukri logo

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Skills Required

JenkinsMLopsML model deploymentModel Monitoringdrift detectionApache AirflowModel performanceCi Cd PipelineGithubSparkAWS

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role & responsibilities : Top key skills for an experienced MLOps Engineer : Cloud & Infrastructure Expertise in AWS , GCP, or Azure, with experience in Kubernetes, Docker , and Terraform. CI/CD & Automation Strong knowledge of Jenkins , GitHub Actions, or GitLab CI/CD for ML model deployment . Model Monitoring & Optimization – Experience in tracking model performance, drift detection, and scaling ML pipelines . Data Engineering & Pipelines – Proficiency in Apache Airflow, Spark, or Kafka for ETL and feature engineering. Security & Compliance – Understanding of ML model security, access control, and regulatory compliance (GDPR, HIPAA). Preferred candidate profile : Qualification: B.Tech – CSE / M.Tech -Data Science or AI Perks and benefits : Best in the industry

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