Machine Learning Engineer

4 weeks ago


Bengaluru, Karnataka, India Iron Mountain Full time
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our Global Technology team at Iron Mountain. As a key member of our team, you will be responsible for designing, implementing, and optimizing machine learning operations solutions within an agile development framework.

Key Responsibilities
  • Deploy machine learning models into production environments, ensuring scalability, reliability, and performance.
  • Provision and manage infrastructure resources for model training, inference, and monitoring.
  • Implement CI/CD pipelines for automated testing, building, and deploying machine learning models.
  • Monitor deployed models for performance metrics, data drift, and concept drift.
  • Manage training data and model artifacts, ensuring traceability and reproducibility of model experiments and iterations.
  • Implement security controls and access policies to protect sensitive data and model assets.
  • Plan and scale infrastructure resources to accommodate growing model workloads and data volumes.
Requirements
  • 6+ years of relevant experience in DevOps practices, cloud computing, containerization, and machine learning frameworks.
  • Knowledge and hands-on experience with Cloud Infrastructure, Git Platforms, and Linux system administration.
  • Strong hands-on experience building enterprise scalable Kubernetes infrastructure.
  • Strong understanding of containerization technologies and Gitlab CICD pipelines.
  • Strong Python knowledge and exposure to ML Concepts, algorithms, and techniques.
Qualifications

BE, BTech or MCA from an accredited/recognized university.

About Us

Iron Mountain is a leading provider of information management services that help organizations lower the costs, risks, and inefficiencies of managing their physical and digital data. We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics.

We proudly partner with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways.

At Iron Mountain, we protect what our customers value most, from the everyday to the extraordinary, while helping them bridge the physical and digital world.



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