Cloud Optimization Specialist

5 days ago

Bareilly, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Job Posting:

We are looking for a highly skilled AI/ML Engineer to lead our cloud optimization and performance tuning initiatives. As an AI/ML Engineer, you will design and implement cutting-edge AI Agents that optimize cloud resource allocation, auto-scaling, and performance monitoring.

  • Create predictive models for failure detection, incident management, and system health monitoring.
  • Develop machine learning algorithms to automate operational workflows.
  • Integrate AI-driven insights with existing cloud monitoring tools.
  • Collaborate with DevOps and SRE teams to deploy, monitor, and improve ML models in production environments.
  • Conduct anomaly detection for security, cost optimization, and performance analytics.

To be successful in this role, you will need a strong background in computer science or a related field, as well as experience with Python, Jupiter, and ML libraries such as PyTorch, TensorFlow, or scikit-learn.

In addition to your technical skills, you should have excellent communication and collaboration skills, as well as the ability to work effectively in a hybrid environment.

Required Skills and Experience:
  • Bachelor's or equivalent experience or Master's degree in Computer Science, Data Science, or related technical field.
  • Proven ability building and deploying ML models, with at least 2 years focused on infrastructure or cloud operations.
  • Solid knowledge of hybrid cloud technologies (AWS, GCP, OpenStack, Kubernetes).
  • Experience with Python, Jupiter, and ML libraries such as PyTorch, TensorFlow, or scikit-learn.
  • Familiarity with cloud-native monitoring, logging, and automation tools (e.g., Terraform, Ansible, Prometheus, Splunk, App Dynamics).
  • Comfortable working with streaming data, APIs, and telemetry systems.
  • Strong communication and multi-functional collaboration skills.
  • Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins).

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