Posted:1 week ago|
Platform:
Work from Office
Full Time
to deliver any custom features quickly to customers during the initial poc/pilot phase so that the core problem of a customer gets solved quickly without worrying about scalability of a solution; and iterate refine the solution with customers before this needs to be scaled through Aurora platform.
to validate new product ideas quickly with customers to ensure there is a recurring demand, willingness to pay, and sufficient market of customers before it needs to be scaled through Aurora platform.
As a Full-Stack AI Engineer within the Product Management team, you will:
Own end to end development of new capabilities from scratch - right from inception of idea to rapid prototyping to a stable solution in the hands of customers to a scalable solution as a platform with a huge focus on speed, experimentation, utmost quality, user experience and solving real customer problems.
Ship features within days or 1-2 weeks, not quarters or months.
Implementing what users ask forand iterating fast.
Design, fine-tuning, and deployment of geospatial deep learning models.
Build and deploy GenAI-powered assistants for semantic satellite data querying.
Own all ML development: preprocessing, embeddings, training, inference, and MLOps pipelines for foundational models, deep learning and machine learning models
Drive Generative AIOps: using GenAI to manage, test, and orchestrate ML workflows
Integrate Pixxels proprietary foundation models (eg: model based on DINOv3) with downstream use cases like crop stress detection, change monitoring, and spectral search.
Host and maintain available geospatial open source models and also retrain and tune them according to our customer use cases
Owning everything end-to-end: frontend, backend, infra, database, and cloud deployment.
Customer-facing geospatial workflows: satellite imagery pipelines, map-based tools, and search/filter features.
In this role, you will work in a team with Product Managers, 1 Product Designer and 1 Full Stack Developer. This role is ideal for someone who has worked in startups
Pixxel
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