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MLOps Engineer - Cloud Infrastructure

5 years

0 Lacs

Greater Kolkata Area

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

ml scaling learning design deployment training versioning aws gcp automate jenkins docker mlflow tensorflow data devops monitoring model drift python kubernetes automation gitlab azure

Work Mode

Remote

Job Type

Full Time

Job Description

ML Ops Engineer (Remote).Are you passionate about scaling machine learning models in the cloud? Were on the hunt for an experienced ML Ops Engineer to help us build scalable, automated, and production-ready ML infrastructure across multi-cloud environments.Location : Remote.Experience : 5+ Years.

What Youll Do

  • Design and manage scalable ML pipelines and deployment frameworks.
  • Own the full ML lifecycle: training versioning deployment monitoring.
  • Build cloud-native infrastructure on AWS, GCP, or Azure.
  • Automate deployment using CI/CD tools like Jenkins, GitLab.
  • Containerize and orchestrate ML apps with Docker and Kubernetes.
  • Use tools like MLflow, TensorFlow Serving, Kubeflow.
  • Partner with Data Scientists & DevOps to ship robust ML solutions.
  • Set up monitoring systems for model drift and performance Were Looking For :
  • 5+ years of experience in MLOps or DevOps for ML systems.
  • Hands-on with at least two cloud platforms : AWS, GCP, or Azure.
  • Proficient in Python and ML libraries (TensorFlow, Scikit-learn, etc.)
  • Strong skills in Docker, Kubernetes, and cloud infrastructure automation Experience building CI/CD pipelines (Jenkins, GitLab CI/CD, etc.
  • Familiarity with tools like MLflow, TensorFlow have skills :
  • Strong experience in any two cloud technologies (Azure, AWS, GCP).
(ref:hirist.tech)

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