Cloud & Data Architecture Engineer

7 days ago

Pakistan Rapid Labs Full time $90,000 - $120,000 per year

Cloud & Data Architecture EngineerRole Purpose:

As a Cloud & Data Architecture Engineer, you will design, optimize, and maintain GAIA's Azure-hosted architecture. Your goal will be to ensure scalability, reliability, and seamless integration of geospatial and machine learning workflows across the organization.

Key Responsibilities:

  • Conduct a full audit of GAIA's current data pipelines to identify inefficiencies and performance bottlenecks.
  • Architect and implement scalable, cloud-native solutions for satellite image ingestion, storage, and processing.
  • Ensure high availability, cost efficiency, and performance optimization of cloud systems.
  • Research and integrate emerging big data and geospatial architecture technologies into GAIA's workflows.
  • Work closely with DevOps and engineering teams to implement CI/CD pipelines and infrastructure-as-code practices.

Required Skills & Experience:

  • Expertise with Azure (preferred), with additional experience in AWS or GCP.
  • Strong understanding of distributed computing frameworks and scalable data pipelines.
  • Experience in building architectures for geospatial systems and ML/AI integration.
  • Solid knowledge of DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and monitoring tools.
  • Ability to evaluate and implement cutting-edge cloud and data architecture strategies.

3. Computer Vision & Machine Learning EngineerRole Purpose:

As a CV/ML Engineer, you will develop and deploy state-of-the-art machine learning models for detecting whales in satellite imagery. Leveraging transfer learning and custom computer vision architectures, you will transform prototypes into production-ready systems that advance GAIA's environmental monitoring mission.Key Responsibilities:

  • Evaluate and benchmark pretrained models for object detection on satellite imagery datasets.
  • Apply transfer learning, semi-supervised learning, and advanced data augmentation to improve accuracy on limited datasets.
  • Design and train custom computer vision architectures in PyTorch or TensorFlow.
  • Generate and integrate synthetic datasets to enhance model robustness.
  • Build end-to-end workflows from model development to deployment and monitoring in production.
  • Collaborate with geospatial and atmospheric correction teams to ensure seamless integration of ML outputs.

Required Skills & Experience:

  • Strong expertise in computer vision, deep learning, and object detection techniques.
  • Hands-on experience with PyTorch and/or TensorFlow for model training and deployment.
  • Familiarity with satellite imagery analysis and geospatial data formats.
  • Experience in synthetic data generation and augmentation strategies.
  • Ability to transition ML models from research prototypes into production-ready systems.

Compensation & Benefits

This is an independent contractor role. We offer:

  • Competitive, market-based compensation aligned with expertise and experience.
  • Remote and flexible working arrangements.
  • Opportunities for long-term collaboration on advanced geospatial and AI-driven projects.
  • Exposure to cutting-edge cloud and big data technologies in Azure, AWS, and GCP environments.
  • A chance to shape the future of GAIA's cloud and data architecture strategy.

Job Type: Contract

Work Location: Remote

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