Senior Cloud Specialist

2 weeks ago

Gurgaon, Haryana, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Cloud Engineer Requirements

We seek an experienced Cloud Engineer to join our team. As a key member of our cloud engineering team, you will be responsible for designing, deploying and managing scalable machine learning infrastructure on cloud platforms.The ideal candidate will have strong expertise in cloud platforms, including compute, storage and networking. Hands-on experience with Kubernetes, Docker and Terraform is essential for infrastructure automation. Additionally, a solid knowledge of machine learning frameworks and MLOps tools is required. Strong programming skills in Python, Go or Java are also necessary.A Bachelor's or Master's degree in Computer Science, Engineering or a related field is preferred. The ideal candidate should have at least 7 years of experience in cloud engineering, DevOps or ML infrastructure roles.Key Responsibilities:
  • Architect and deploy scalable ML infrastructure on cloud platforms (AWS, GCP or Azure).
  • Design and maintain end-to-end ML pipelines for training, testing and deploying models.
  • Collaborate with data scientists to optimize model training and inference performance.
  • Implement monitoring, logging and alerting systems for ML applications in production.
  • Ensure data security, compliance and cost optimization in cloud environments.
  • Research and adopt best practices for MLOps and cutting-edge ML infrastructure technologies.
Benefits include:
  • Opportunity to work on challenging projects.
  • Collaborative and dynamic work environment.
  • Professional development and growth opportunities.
  • Competitive compensation package.

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