Senior ML Backend Engineer

📋 Description

• Build, maintain, scalable ML infrastructure for model lifecycle.
• Design reliable ML pipelines and tooling for large-scale workloads.
• Partner with ML engineers to productionize models from prototypes.
• Develop automation, observability, data lineage, governance across ML envs.
• Evaluate new data sources/tools to improve perf and efficiency.
• Collaborate with stakeholders to deliver scalable ML solutions.

🎯 Requirements

• Senior backend with ML understanding and interest to deepen ML expertise.
• Experience building ML infra for large-scale training, eval, deployment.
• Strong Python and ML tooling (DL frameworks, experiment tracking, containers, CI/CD).
• Hands-on MLOps: CI/CD, monitoring, reproducibility, data lineage, governance, prod ops.
• Cloud-native tech, Kubernetes, distributed infra for ML workloads.
• PhD preferred; Master's with extensive experience or Bachelor's with hands-on.

🎁 Benefits

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