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Mani India Technologies
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AI Infrastructure Engineer

AI Infrastructure Engineer

Mani India Technologies

0 - 8 years

0 Lacs

Chennai, Tamil Nadu

Posted:2 days ago| Platform: Indeed logo

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Skills Required

ai training ml data devops cybersecurity model development design azure aws orchestration kubernetes reliability monitoring tuning inference rollback logging security learning sagemaker gcp vertex code terraform containerization docker mlflow github cuda compliance iam scaling latency optimization engineering architecture networking

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: AI Infrastructure Engineer

Experience: 8+ Years

Location: Onsite

(Note: The selected candidate is required to relocate to Kovilpatti, Tamil Nadu for the initial three-month project training session. Post training, the candidate will be relocated to one of our onsite locations: Chennai, Hyderabad, or Pune, based on project allocation.)

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:

Tamulinadu, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required)

Application Question(s):

Expected Salary in Annual (INR)

Experience:

AI Infrastructure Engineer : 8 years (Required)

Work Location: In person

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