Chief AI Development Specialist

2 weeks ago

Kurnool, Andhra Pradesh, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI Engineer Position

We are seeking a highly skilled AI/ML engineer to lead the design and implementation of cutting-edge AI Agents that optimize cloud resource allocation, auto-scaling, and performance tuning.

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

  • Job 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.
  • Requirements:
  • 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.
  • 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).
  • 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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