Senior MLOps Cloud Engineer

1 day ago

Pune, Maharashtra, India beBeeCloud Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Machine Learning Engineer Position

 

As a seasoned Machine Learning Operations (MLOps) professional, we are seeking an accomplished individual to spearhead the development and implementation of cutting-edge MLOps pipelines using the Google Cloud Platform.

Key Responsibilities:

  • Design, implement, and maintain efficient MLOps pipelines to streamline machine learning model deployment and improve overall workflow efficiency.
  • Collaborate closely with cross-functional teams to ensure seamless integration of ML models into business applications, meeting customer needs effectively.
  • Develop and execute DevOps processes, ensuring robust and scalable infrastructure for data-driven decision making.
  • Work closely with data scientists to deploy models efficiently, leveraging Google Agentic Framework and Google Large Language Model capabilities.
  • Monitor and troubleshoot ML model performance, utilizing tools like Datadog to drive continuous improvement and optimize results.

Requirements:

  • At least 4 years of experience in MLOps, AIOps, and cloud computing, preferably with hands-on expertise in Google Cloud Platform (GCP) and Azure.
  • Strong understanding of DevOps, Continuous Integration/Continuous Deployment (CI/CD), and Git workflows.
  • Experience with Google Agentic Framework and Google Large Language Model is highly desirable.
  • Familiarity with cloud infrastructure and monitoring tools, such as Datadog.

Why You'll Thrive in This Role:

This role offers a unique opportunity to leverage your technical expertise in MLOps to drive business growth and customer satisfaction. If you're passionate about harnessing machine learning to deliver exceptional results, we encourage you to apply for this challenging and rewarding position.

What We Offer:

We provide a dynamic work environment that fosters collaboration, innovation, and continuous learning. As part of our team, you will have access to state-of-the-art technology, training programs, and opportunities for career advancement.

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