Gis Software Engineer

3 days ago

India Hyperhire Full time
Client : https://energylifeglobal.com/Role: remote (1st Contract for 3+ month then extended to continues)Working hours :(40 hrs - Monday to Friday)Immediate joiners prefer Key Responsibilities1.

Data Ingestion and Processing Pipeline: Build and maintain an automated pipelineto ingest and process raw satellite data from sources like the Registry of Open Data on AWS, storing the results in a data lake built on Amazon S3.2.

AI Model Training & Integration Framework: Develop a framework in Python toautomate the machine learning lifecycle, including the training, validation, versioning,and storage of models for satellite image classification (Segmentation) and thermalrisk prediction (using libraries like XGBoost).

You will also integrate the UTCI(Universal Thermal Climate Index) calculation logic using the pythermalcomfortlibrary.3.

Real-time Prediction API: Design and build a low-latency REST API using AWSLambda and API Gateway to serve real-time predictions from the AI models.4.

Frontend Core Feature Implementation: Implement the core features of theinteractive dashboard using React and Mapbox GL JS, focusing on the intuitivevisualisation of complex geospatial heatmap data.5.

Cloud Infrastructure: Design and construct the entire cloud infrastructure using Infrastructure as Code (Ia C) principles with the AWS CDK, ensuring the platform issecure, cost-effective, and scalable.

Qualifications Required Qualifications:6.

A minimum of 3 years of professional software development experience7 Deep expertise in either Python-based backend development or React-based frontenddevelopment8.

Essential, in-depth experience designing, building, and deploying services on Amazon Web Services (AWS), with a strong command of Lambda, S3, APIGateway, and IAM9.

A thorough understanding of REST principles and proven experience in designingand building APIs from scratch.10.

Proficiency in containerising applications using Docker11.

Demonstrated ability to independently solve complex, open-ended technicalchallenges12.

Strong communication skills to articulate technical decisions and collaborate with theteam Preferred Qualifications:1.

Experience building complex, interactive mapping and data visualisation serviceswith Mapbox GL JS or similar libraries.2.

Experience with GIS data processing using libraries like Geo Pandas and Rasterio, orfamiliarity with Google Earth Engine.3.

Experience with ML model serving (MLOps) using frameworks like XGBoost and Scikit-learn.4.

Proven experience with Infrastructure as Code (Ia C) tools such as AWS CDK or Terraform.5.

Previous experience in an early-stage start-up, demonstrating the ability to build aproduct from version 0 to 1.

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