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AI Engineer - Satellite Intelligence Solutions
GalaxEyeNew Delhi, Delhi, India30+ days ago
Job descriptionEntrepreneurial Mindset : Hustling attitude, proactive approach, and capability to take independent initiatives Communication : Excellent verbal and written communication skills with a disciplined work ethic Technical Experience : 3+ years of experience in training, deploying & maintaining AI models using PyTorch / TensorFlow or any other equivalent tech Data Engineering : Experience in Creating Data acquisition, annotation & versioning pipelines to continuously prepare data for training and improving AI models Deployment : Experience with deployment in secure and restricted environments Deep Learning : Solid grasp in understanding Deep learning Concepts for computer vision problems Preferred Qualifications Experience building applications with geospatial data Previous work in satellite technology or remote sensing domains Experience with air-gapped system deployments Opportunity to work with cutting-edge satellite intelligence technology Direct impact on product development and client success Collaborative work environment with opportunities for continuous learning and growth Chance to work on challenging technical problems in the space technology sector
About GalaxEye
GalaxEye is at the forefront of satellite technology innovation, transforming how intelligence is extracted from satellite imagery. We’re building cutting-edge solutions that deliver actionable insights from space-based data.
Position Overview
We are seeking an exceptional AI Engineer to productize our cutting-edge satellite intelligence technologies and create exceptional products that deliver intelligence from satellite images. This role combines technical excellence with client-facing responsibilities in secure, air-gapped environments.
Key Responsibilities
- Set up and manage data pipelines to create comprehensive training datasets for continuous training and continuous deployment of our AI Models
- Fine tuning of our AI models & Computer vision models according to the clients requirements
- Setting an active MLOPS pipeline in the air-gapped infrastructure on the client side to continuously train and Fine tune our AI models
- Rigorously testing and benchmarking the fine tuned AI models as well as the Image Processing algorithms to achieve the pre-set QRs and maintain detailed QR (Quality Report) documentation
- Continuously Integrating the fine tuned AI models with the product backend
- Drive continuous improvement through proactive problem-solving and initiative-taking
Required Qualifications
What We Offer
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