Cloud AI Architect

1 day ago

Coimbatore, Tamil Nadu, India beBeeAIENGINEER Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
About the Role

We are seeking an experienced AI/ML Engineer to join our team in designing and implementing cutting-edge AI Agents that optimize cloud resource allocation, auto-scaling, and performance tuning.

As an AI/ML Engineer, you will be responsible for developing predictive models, automating workflows, and integrating AI-driven insights into mission-critical cloud environments.

The ideal candidate will have a strong background in hybrid cloud technologies (AWS, GCP, OpenStack, Kubernetes), experience with Python, Jupiter, and ML libraries such as PyTorch, TensorFlow, or scikit-learn, and familiarity with cloud-native monitoring, logging, and automation tools (e.g., Terraform, Ansible, Prometheus, Splunk, App Dynamics).

You will work closely 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, and continuously evaluate emerging AI technologies and tools for operational improvements.

A bachelor's or master's degree in Computer Science, Data Science, or related technical field is required, along with proven ability building and deploying ML models, with at least 2 years focused on infrastructure or cloud operations.

Key Responsibilities:
  • Design and implement AI Agents to optimize cloud resource allocation, auto-scaling, and performance tuning
  • Develop predictive models for failure detection, incident management, and system health monitoring
  • Automate operational workflows using machine learning and intelligent scripting
  • 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
  • Continuously evaluate emerging AI technologies and tools for operational improvements
  • Maintain documentation and best practices for AI/ML integration in cloud systems
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)
Mandatory Skills:
  • Infrastructure Domain Experience
  • MCP Integration
  • ML Modelling
  • Python
  • PyTorch
  • Agentic AI
  • Hybrid Cloud
  • Terraform
  • Ansible
  • Agile
  • Jira
  • CI/CD

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