Infra AI Engineer Senior

6 - 11 years

0 Lacs

Noida

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
  • Design and implement AI-integrated infrastructure solutions across cloud platforms (Azure, AWS, GCP), enabling predictive automation, intelligent scaling, and self-healing capabilities.
  • Develop and deploy Python-based automation scripts and ML models for infrastructure use cases such as anomaly detection, capacity forecasting, and auto-remediation.
  • Integrate AI/ML tools like Kubeflow, MLflow, Azure Machine Learning, Amazon SageMaker, and TensorFlow Serving into infrastructure pipelines and operational workflows.
  • Build and manage Infrastructure as Code (IaC) using Terraform, Pulumi, or Ansible, ensuring modular, reusable, and version-controlled infrastructure components.
  • Implement AI-enhanced observability by combining telemetry data with ML models to detect patterns, reduce alert noise, and predict failures using tools like Prometheus, Grafana, ELK Stack, and OpenTelemetry.
  • Lead or contribute to cloud migration projects, applying AI-driven insights for workload placement, performance tuning, and post-migration optimization.
  • Design and maintain CI/CD pipelines for infrastructure provisioning and AI model deployment using Azure DevOps, GitHub Actions, or GitLab CI/CD.
  • Collaborate with data science and platform teams to translate model requirements into scalable, secure, and cost-efficient infrastructure.
  • Ensure infrastructure governance, compliance, and security by embedding DevSecOps principles and automating policy enforcement.
  • Continuously evaluate emerging AI technologies and infrastructure tools to improve automation, reliability, and operational efficiency.

Desired Profile

  • 6+ years of experience in infrastructure engineering, cloud automation, or AI-integrated operations.
  • Strong hands-on experience with Azure, AWS, or GCP, including compute, networking, and ML services.
  • Proficient in Python for scripting, automation, and AI model integration.
  • Skilled in Terraform, Pulumi, or Ansible for IaC.
  • Experience with AI/ML platforms like Kubeflow, MLflow, Azure ML, or SageMaker.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable AI workloads.
  • Knowledge of monitoring tools and AI-enhanced observability.
  • Strong understanding of cloud security, DevSecOps, and compliance frameworks.
  • Excellent problem-solving, documentation, and cross-functional collaboration skills.

Experience

  • 6 years and above

Education

  • B.Tech. / BS in Computer Science

Technical Skills & Certifications

  • Azure AI Engineer Associate, AWS Certified Machine Learning Specialty, or Google Professional ML Engineer
  • HashiCorp Certified Terraform Associate
  • Certified Kubernetes Administrator (CKA)

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