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Posted on 2 Sep, 2025
In Office
Job Description | Responsibilities
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Design and manage end-to-end ML pipelines for imagery-based AI solutions
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Preprocess, version, and manage geospatial datasets (satellite, drone, LiDAR)
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Deploy models via APIs on cloud platforms (AWS/GCP) with CI/CD integration
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Implement model monitoring, experiment tracking, and model registries (MLflow, Kubeflow, Airflow)
Overview
- Industry - Aerospace - General / Civil Aviation
- Functional Area - IT Robotics & Automation / IoT / Machine Learning, DevOps / Configuration And Deployment Management
- Job Role - RoboLab Trainer, DevOps Engineer
- Employment type - Full Time - Permanent
- Work Mode - In Office
Qualifications
- Any Graduate - Any Specialization
- Any Post Graduate - Any Specialization
- Any Doctorate - Any Specialization
Job Related Keywords
Machine Learning Pipelines
Geospatial Data
Satellite Imagery
Drone Data
LiDAR
Cloud Deployment
AWS
GCP