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Globalfoundries
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MLOps Data Engineer

MLOps Data Engineer

Globalfoundries

3 - 5 years

5 - 7 Lacs

bengaluru

Posted:5 days ago| Platform:

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Skills Required

fabrication computer science semiconductor orchestration monitoring tools gcp machine learning cloud data governance python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title: MLOps Data Engineer

Introduction :

We are seeking a skilled and motivated MLOps Engineer to join our Data Operations team. The ideal candidate will have 3 5 years of experience in deploying, monitoring, and scaling machine learning models in production environments. You will collaborate closely with data scientists, software engineers, and DevOps teams to streamline the ML lifecycle and ensure robust, scalable, and secure model operations.

Key Responsibilities:

Design and implement CI/CD pipelines for ML models.
Automate model training, validation, deployment, and monitoring workflows.
Manage model versioning, reproducibility, and rollback strategies.
Optimize infrastructure for model inference and training (on-prem/cloud).
Monitor model performance and data drift in production.
Collaborate with cross-functional teams to integrate ML solutions into business applications.
Ensure compliance with data governance, security, and privacy standards.
Maintain documentation and best practices for MLOps processes.

Required Qualifications:

Bachelor s or Master s degree in Computer Science, Data Engineering, or related field.
3 5 years of experience in MLOps, DevOps, or ML engineering roles.
Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch).
Experience with containerization (Docker, Kubernetes) and orchestration tools.
Familiarity with cloud platforms (AWS, Azure, GCP) and ML services.
Strong understanding of CI/CD tools (e.g., GitHub Actions, Jenkins, MLflow).
Knowledge of monitoring tools (Prometheus, Grafana) and logging systems.

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MLOps Data Engineer