▷ Immediate Start! 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.

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