Job Description:
Our Machine Learning Engineers are at the heart of turning raw data into intelligent applications. You’ll design scalable ML systems that support chatbots, predictive analytics, and geospatial intelligence from drone/satellite imagery. In this role, you’ll bridge the gap between theory and production by transforming models into robust, user-ready solutions that can handle real-world challenges.
Whether it’s optimizing pipelines for faster model training, building RAG-enabled AI assistants, or working on remote sensing insights for agriculture, your work will directly contribute to solutions that drive industries forward.
Responsibilities:
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Build ML pipelines for training, testing, and deployment.
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Optimize ML/DL models for performance and scalability.
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Work on geospatial imagery datasets (drone/satellite).
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Collaborate with data scientists and backend engineers.
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Maintain MLOps workflows and CI/CD pipelines.
Preferred Qualifications:
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Bachelor’s/Master’s in Computer Science, Data Science, or related.
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Strong coding skills in Python (FastAPI, Django) and ML libraries.
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Experience with cloud platforms (AWS, GCP, Azure).
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Familiarity with geospatial datasets is an asset.
