Senior ML Backend Engineer

📋 Description

• Build and evolve ML infrastructure for training, evaluation, deployment, and monitoring.
• Design reliable pipelines and tooling for large-scale workloads.
• Collaborate with ML engineers/researchers to productionize models.
• Develop automation, observability, data lineage, and governance across ML envs.

🎯 Requirements

• Senior backend experience with strong ML understanding.
• Experience building ML infrastructure and tooling for large-scale workloads.
• Strong Python and ML tooling, incl. experiment tracking, version control, containers, workflows.
• Hands-on MLOps: CI/CD, model monitoring, reproducibility, governance, ops.
• Experience with cloud-native tech, Kubernetes, distributed computing.
• Ability to explain concepts to technical/non-technical stakeholders.

🎁 Benefits

• Work on advanced ML, computer vision, geospatial analytics.
• Exposure to large-scale aerial/satellite imagery for property intel.
• Work with modern cloud-native infra, ML platforms, AI tools.
• Opportunity to contribute to responsible AI, security, risk mgmt.
• Collaborative environment with diverse stakeholders.
• Growth opportunities on high-impact ML infra challenges.