Key Responsibilities: Provision and manage GPU-based EC2 instances for training and inference workloads. Configure and maintain EBS volumes and Amazon S3 buckets (versioning, lifecycle policies, multipart uploads) to handle large video and image datasets . Build, containerize, and deploy ML workloads using Docker and push images to ECR . Manage container deployment using Lambda , ECS , or AWS Batch for video inference jobs. Monitor and optimize cloud infrastructure using CloudWatch, Auto Scaling Groups , and Spot Instances to ensure cost efficiency. Set up and enforce IAM roles and permissions for secure access control across services. Collaborate with the AI/ML, annotation, and backend teams to streamline cloud-to-model pipelines. Automate cloud workflows and deployment pipelines using GitHub Actions , Jenkins , or similar CI/CD tools. Maintain logs, alerts, and system metrics for performance tuning and auditing. Required Skills: Cloud & Infrastructure: AWS Services : EC2 (GPU), S3, EBS, ECR, Lambda, Batch, CloudWatch, IAM Data Management : Large file transfer, S3 Multipart Uploads, storage lifecycle configuration, archive policies (Glacier/IA) Security & Access : IAM Policies, Roles, Access Keys, VPC (preferred) DevOps & Automation: Tools : Docker, GitHub Actions, Jenkins, Terraform (bonus) Scripting : Python, Shell scripting for automation & monitoring CI/CD : Experience in building and managing pipelines for model and API deployments ML/AI Environment Understanding: Familiarity with GPU-based ML workloads Knowledge of model training, inference architecture (batch and real-time) Experience with containerized ML model execution is a plus Preferred Qualifications: 2-5 years of experience in DevOps or Cloud Infrastructure roles AWS Associate/Professional Certification (DevOps/Architect) is a plus Experience in managing data-heavy pipelines , such as drones, surveillance, or video AI systems

Role & responsnsibilities Track Alignment & Road Design: Design and optimize horizontal and vertical alignments for railway tracks and highways in accordance with national and international standards. Perform geometric design of roads and tracks using tools such as AutoCad, AutoCad Civil 3D, OpenRail, OpenRoads, or similar. Conduct route selection and feasibility studies considering terrain, environmental impact, and cost-effectiveness. Coordinate with structural, drainage, and utilities teams to ensure design integration. Prepare design reports, drawings, and technical documentation. GIS & Spatial Analysis: Manage and analyze spatial data using GIS software such as ArcGIS, QGIS, or similar. Create and maintain project-specific GIS databases for alignment studies, land acquisition, and environmental assessment. Generate maps, thematic layers, and spatial visualizations for stakeholder presentations and technical reports. Integrate GIS with BIM, LiDAR, and survey data to support design accuracy. Technical Skills: Proficiency in design software: AutoCAD Civil 3D, Monorail, Bentley OpenRail/OpenRoads, MX Road, or equivalent. Strong GIS knowledge: ArcGIS, QGIS, and spatial data management. Familiarity with global and regional railway/highway standards (e.g., IRWM, AREMA, AASHTO, IRC, Eurocode). Understanding of topographic surveys, digital terrain modeling, and geospatial data integration.