Data Scientist Cloud Engineer

5 days ago

Gulbarga, Karnataka, India beBeeGeospatial Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

This job offers the opportunity to work as a Cloud Geospatial Developer, building and maintaining complex cloud infrastructure using Infrastructure as Code (IaC) principles with AWS CDK. The ideal candidate will have experience designing, building, and deploying services on Amazon Web Services (AWS), with a strong command of Lambda, S3, API Gateway, and IAM.

The role involves developing an automated pipeline to 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. Additionally, the candidate will design and build a low-latency REST API using AWS Lambda and API Gateway to serve real-time predictions from AI models.

Key Responsibilities
  • Data Ingestion and Processing Pipeline: Build and maintain an automated pipeline to 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.
  • AI Model Training & Integration Framework: Develop a framework in Python to automate the machine learning lifecycle, including the training, validation, versioning, and storage of models for satellite image classification (Segmentation) and thermal risk prediction (using libraries like XGBoost).
  • Real-time Prediction API: Design and build a low-latency REST API using AWS Lambda and API Gateway to serve real-time predictions from the AI models.
  • Frontend Core Feature Implementation: Implement the core features of the interactive dashboard using React and Mapbox GL JS, focusing on the intuitive visualisation of complex geospatial heatmap data.
  • Cloud Infrastructure: Design and construct the entire cloud infrastructure using IaC principles with the AWS CDK, ensuring the platform is secure, cost-effective, and scalable.

Required Qualifications:

  • A minimum of 3 years of professional software development experience.
  • Deep expertise in either Python-based backend development or React-based frontend development.
  • Essential, in-depth experience designing, building, and deploying services on Amazon Web Services (AWS), with a strong command of Lambda, S3, API Gateway, and IAM.
  • A thorough understanding of REST principles and proven experience in designing and building APIs from scratch.
  • Proficiency in containerising applications using Docker.
  • Demonstrated ability to independently solve complex, open-ended technical challenges.
  • Strong communication skills to articulate technical decisions and collaborate with the team.
Benefits

The company offers a dynamic and collaborative environment where you can grow your skills and contribute to innovative projects.

Preferred Qualifications
  • Experience building complex, interactive mapping and data visualisation services with Mapbox GL JS or similar libraries.
  • Experience with GIS data processing using libraries like GeoPandas and Rasterio, or familiarity with Google Earth Engine.
  • Experience with ML model serving (MLOps) using frameworks like XGBoost and Scikit-learn.
  • Proven experience with Infrastructure as Code (IaC) tools such as AWS CDK or Terraform.
  • Previous experience in an early-stage start-up, demonstrating the ability to build a product from version 0 to 1.

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