Senior ML Backend Engineer

📋 Description

• Build and evolve scalable ML infrastructure for training, evaluation, deployment, and monitoring.
• Design reliable ML pipelines and tooling for large-scale workloads.
• Collaborate with ML engineers/researchers to productionize models.
• Develop automation, observability, reproducibility, data lineage, and governance.
• Evaluate new data sources, platforms, and tools to improve performance and efficiency.
• Work with stakeholders to deliver scalable ML solutions with AI-powered tooling.

🎯 Requirements

• Senior backend software engineering with strong ML understanding.
• Experience building ML infrastructure for large-scale training, evaluation, deployment.
• Strong Python and ML tooling experience (experiments, versioning, containers, workflows).
• Hands-on MLOps: CI/CD, model monitoring, reproducibility, data lineage, governance, production ops.
• Cloud-native, Kubernetes, distributed computing, scalable ML infra.
• Experience with AI tools/LLM-based agents to enhance workflows; responsible AI awareness.

🎁 Benefits

• Work on advanced ML, computer vision, geospatial analytics, AI challenges.
• Exposure to large-scale aerial/satellite imagery and property intelligence tech.
• Cloud-native infra, distributed computing, ML platforms, AI-enabled tools.
• Contribute to responsible AI, model governance, security, and risk management.
• Collaborative environment with ML engineers, researchers, software, and product teams.
• Professional growth through complex ML infrastructure challenges.