Location: Remote / Hybrid Experience: 2–6 years (or strong project/internship experience) Employment Type: Full-Time Department: AI & Software Systems Key Responsibilities Design and maintain end-to-end MLOps pipelines: from data ingestion to model deployment and monitoring. Containerize ML models and services using Docker for scalable deployment. Develop and deploy APIs using FastAPI to serve real-time inference for object detection, segmentation, and mapping tasks. Automate workflows using CI/CD tools like GitHub Actions or Jenkins. Manage cloud infrastructure on AWS: EC2, S3, Lambda, SageMaker, CloudWatch, etc. Collaborate with AI and GIS teams to integrate ML outputs into mapping dashboards. Implement model versioning using DVC/Git, and maintain structured experiment tracking using MLflow or Weights & Biases. Ensure secure, scalable, and cost-efficient model hosting and API access. Required Skills Programming: Python (must), Bash/Shell scripting ML Frameworks: PyTorch, TensorFlow, OpenCV MLOps Tools: MLflow, DVC, GitHub Actions, Docker (must), Kubernetes (preferred) Cloud Platforms: AWS (EC2, S3, SageMaker, IAM, Lambda) API Development: FastAPI (must), Flask (optional) Data Handling: NumPy, Pandas, GDAL, Rasterio Monitoring: Prometheus, Grafana, AWS CloudWatch Preferred Experience Hands-on with AI/ML models for image segmentation, object detection (YOLOv8, U-Net, Mask R-CNN). Experience with geospatial datasets (satellite imagery, drone footage, LiDAR). Familiarity with PostGIS, QGIS, or spatial database management. Exposure to DevOps principles and container orchestration (Kubernetes/EKS). Soft Skills Problem-solving mindset with a system design approach. Clear communication across AI, software, and domain teams. Ownership of the full AI deployment lifecycle. Education Bachelor’s or Master’s in Computer Science, Data Science, AI, or equivalent. Certifications in AWS, MLOps, or Docker/Kubernetes (bonus).
Key Responsibilities: 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, 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, Bentley, MonoRail, 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.