Machine Learning Engineer

2 weeks ago


Bengaluru, Karnataka, India Iron Mountain Full time

At Iron Mountain, we're seeking a talented Machine Learning Engineer to join our team. As a key member of our Global Product Engineering team, you'll be responsible for designing, implementing, and optimizing machine learning solutions within our agile development framework.

Our ideal candidate will have a strong background in developing and deploying machine learning models and algorithms in cloud environments, with a focus on optimizing performance in high-computing scenarios.

Key Responsibilities:

  • Design and implement machine learning algorithms and models to solve specific business problems or improve existing processes.
  • Collect, clean, and preprocess large datasets for training and evaluation.
  • Train machine learning models using various techniques such as supervised, unsupervised, and reinforcement learning.
  • Integrate models and GenAI services with existing software infrastructure and workflows.
  • Optimize the performance of machine learning models and algorithms, considering factors such as speed, accuracy, memory usage, and scalability.

Requirements:

  • 6+ years of experience in Machine Learning, AI, Python.
  • Strong communication, collaboration, and problem-solving skills.
  • Experience in leading and/or mentoring engineers in a team environment.
  • Strong background in developing and deploying machine learning models and algorithms in cloud environments.

Preferred Qualifications:

  • Experience with agile tools such as Atlassian JIRA, Rally, TFS, or Version One.
  • Experience in MLOps, Kubernetes, CI/CD tools (like Gitlab, Jenkins, git), Docker, Linux Shell scripting.
  • Familiarity with implementation design patterns and performance challenges.

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're committed to preserving and protecting our customers' valuable information, and we're seeking talented individuals like you to join our team.



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