Senior ML Backend Engineer

📋 Description

• Build, maintain, evolve scalable ML infrastructure for dev, training, eval, deployment, monitoring.
• Design reliable ML pipelines, platforms for large-scale workloads.
• Collaborate to productionize models from prototypes.
• Develop automation, observability, reproducibility, data governance.
• Evaluate new data sources and tools to boost performance.
• Collaborate with orgs to deliver scalable ML solutions.

🎯 Requirements

• Senior backend dev with ML interest and expertise.
• Experience building ML infrastructure for training, eval, deployment.
• Strong Python, ML tooling, experimentation, version control, containers, automation.
• Hands-on MLOps: CI/CD, model monitoring, data lineage, governance, prod ops.
• Cloud-native tech, Kubernetes, distributed computing, scalable infra for ML.
• AI concepts, AI tools, LLM-based agents to aid workflows.

🎁 Benefits

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