Senior ML Backend Engineer

📋 Description

• Build, maintain, and evolve scalable ML infra for model dev, training, evaluation, deployment
• Design reliable pipelines and tooling for large-scale workloads.
• Partner with ML engineers/researchers to productionize models.
• Develop automation, observability, reproducibility, data lineage, governance.
• Evaluate new data sources and tools to improve performance and efficiency.
• Collaborate with software, product, and business teams on ML solutions.

🎯 Requirements

• Senior backend software engineering with ML focus.
• Experience designing and maintaining ML infrastructure for large-scale workloads.
• Strong Python and ML tooling including experiment tracking, version control, containers, workflows.
• Hands-on MLOps: CI/CD, model monitoring, reproducibility, data lineage, governance.
• Cloud-native tech, Kubernetes, distributed computing, scalable infra for ML.
• Understanding of AI concepts and use of AI tools/LLMs to enhance workflows.

🎁 Benefits

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