Sr. ML/Ops Developer

To build and maintain robust ML pipelines and scalable deployment architectures for satellite, drone, LiDAR and temporal-based AI models, supporting data versioning, training workflows, and CI/CD for model delivery in a production environment

• Develop and manage end-to-end ML pipelines for imagery-based AI solutions.
• Handle preprocessing and versioning of geospatial data (satellite, drone, LiDAR).
• Integrate models with APIs and deploy on cloud platforms (AWS/GCP).
• Implement CI/CD and model monitoring for continuous delivery and performance tracking.
• Work closely with AI and data teams to automate workflows using MLflow, Airflow, or Kubeflow.
• Containerize solutions using Docker and manage deployments via Kubernetes.
• Maintain experiment tracking, model registries, and reproducible ML environments.
• Optimize infrastructure and data pipelines for large-scale image processing.

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