📍 Location -Chennai / Gurgaon (Hybrid)
💼 Experience: 5–7 Years
💰 CTC: ₹9–12 LPA
⏳ Notice Period: Immediate to 15 Days
🔑 Mandatory Skills
✅ DevOps
✅ API Development
✅ Python
✅ FastAPI / Flask
✅ AWS Services: SageMaker, S3, Glue, Kinesis, ECS, EKS
✅ Kubernetes & Containerization
✅ CI/CD Pipelines (Azure DevOps & AWS DevOps)
📌 Note: Skills must be demonstrated in project experience, not only listed.
🛠 Tech Stack
AWS | Python | FastAPI | Flask | Kubernetes | Docker | SageMaker | Glue | Kinesis | ECS | EKS | Azure DevOps | CI/CD | IaC
📋 Key Responsibilities
🔹 Design and implement scalable ML engineering solutions with automation
🔹 Deploy, monitor, and maintain ML models in production
🔹 Build and optimize ETL/ELT data pipelines
🔹 Develop high-performance APIs using FastAPI/Flask
🔹 Work extensively with AWS services (SageMaker, Glue, Kinesis, ECS/EKS, S3)
🔹 Manage Kubernetes-based container orchestration in multi-cloud environments
🔹 Implement CI/CD pipelines using Azure DevOps & AWS DevOps
🔹 Collaborate with IT and business stakeholders for seamless delivery
🔹 Apply Infrastructure as Code (IaC) and configuration management best practices
Chennai, Tamil Nadu, India, Gurgaon
Chennai, Tamil Nadu, India, Gurgaon
Project Manager
(Annual Package)
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