Senior ML Backend Engineer

📋 Description

• Build and evolve scalable ML infra for training, eval, deploy, monitor.
• Design reliable pipelines and tooling for large-scale workloads.
• Collaborate to move models from prototype to production.
• Automate testing, observability, data lineage, governance.
• Evaluate new data sources, platforms, and tools.
• Work with teams to deliver scalable ML solutions.

🎯 Requirements

• Senior backend software engineering with ML interest.
• Experience building ML infra for large-scale training/eval/deploy.
• Strong Python and ML tooling (experimentation tracking, containerization, workflows).
• MLOps: CI/CD, model monitoring, reproducibility, governance, prod ops.
• Cloud-native, Kubernetes, distributed computing, scalable infra.
• AI concepts and practical use of AI tools/LLMs to aid work.

🎁 Benefits

• Work on advanced ML, CV, geospatial analytics, AI challenges.
• Exposure to large-scale aerial/satellite imagery for property intel.
• Cloud-native infra, distributed computing, ML platforms, AI tools.
• Contribute to responsible AI, model governance, security, risk.
• Collaborative environment with ML engineers, researchers, product teams.
• Professional growth on high-impact ML infra challenges.