*Location: The selected candidate is required to work onsite at our Chennai location for the initial six-month project training and execution period. After the six months, the candidate will be offered remote opportunities.*

Job Summary:

We are looking for an experienced AI Infrastructure Engineer to architect and manage scalable, secure, and high-performance infrastructure tailored for enterprise AI and ML applications. The ideal candidate will collaborate with data scientists, DevOps, and cybersecurity teams to build reliable platforms for efficient model development, training, and deployment.

Key Responsibilities:

Design and implement end-to-end AI infrastructure using cloud-native tools (Azure, AWS, GCP).
Build secure and scalable compute environments with GPU/TPU acceleration for model training and inference.
Develop and maintain CI/CD and MLOps pipelines for the AI/ML lifecycle.
Optimize large-scale AI workloads using distributed computing and hardware-aware strategies.
Manage containerized deployments using orchestration platforms like Kubernetes (AKS, EKS, GKE) and Docker.
Ensure system reliability, monitoring, observability, and performance tuning for real-time inference services.
Implement automated rollback, logging, and infrastructure monitoring tools.
Collaborate with cybersecurity teams to enforce security, data privacy, and regulatory compliance.

Technical Skills:

Cloud Platforms: Azure Machine Learning, AWS SageMaker, GCP Vertex AI
Infrastructure-as-Code: Terraform, ARM Templates, Bicep
Containerization & Orchestration: Docker, Kubernetes (AKS, EKS, GKE)
MLOps Tools: MLflow, Kubeflow, Azure DevOps, GitHub Actions
GPU/TPU Acceleration: CUDA, NVIDIA Triton Inference Server
Security & Compliance: TLS, IAM, RBAC, Azure Key Vault
Performance: Endpoint scaling, latency optimization, model caching, and resource allocation

Qualifications:

Bachelor's or Master's in Computer Engineering, Cloud Architecture, or a related field
Microsoft Certified: Azure Solutions Architect or DevOps Engineer Expert (preferred)
Proven experience deploying and managing large-scale ML pipelines and AI workloads
Strong understanding of infrastructure security, networking, and cloud-based AI environments

Job Type: Full-time

Pay: Up to ₹80,000.00 per month

Ability to commute/relocate:

Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

Expected Salary in Annual (INR)

Experience:

AI Infrastructure Engineer : 8 years (Required)

Work Location: In person

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AI Infrastructure Engineer