Senior ML Backend Engineer

📋 Description

• Build and evolve scalable ML infra for training, evaluation, deployment, and monitoring.
• Design reliable ML pipelines and tooling for large-scale workloads.
• Collaborate with ML researchers to productionize new models.
• Develop automation, observability, data lineage, and governance across ML envs.
• Evaluate new data sources and tools to boost performance and efficiency.
• Apply AI-assisted tooling to automate workflows and boost productivity.

🎯 Requirements

• Senior backend software engineer with strong ML experience.
• Experience designing and maintaining ML infrastructure for large-scale training and deployment.
• Strong Python proficiency with ML tooling, experiment tracking, version control, containers, and
• Hands-on MLOps: CI/CD, model monitoring, reproducibility, data lineage, governance, production ops.
• Cloud-native tech, Kubernetes, distributed computing, scalable ML infra.
• Understanding of AI concepts and practical use of AI tools, coding assistants, LLM-based agents.

🎁 Benefits

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