Sr. ML/Ops Developer
5 days ago
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.
Education -
B.E./B.Tech in Computer Science, Data Engineering, or related field
Work Experience-
Minimum 3+ years in ML/DevOps with real-world deployment of AI/ML models
Knowledge-
MLOps principles, containerization, data pipelines, cloud infra
Skills-
Python, MLflow, Docker, Kubernetes, Git, TensorFlow/PyTorch, FastAPI, AWS/GCP, Airflow/Kubeflow
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