Senior ML Backend Engineer

📋 Description

• Build, maintain, and evolve scalable ML infrastructure for model development, training, evaluation
• Design reliable ML pipelines, platforms, and tooling for large-scale workloads.
• Partner with ML engineers/researchers to productionize models from prototypes.
• Develop automation, observability, testing, data lineage, and governance across ML environments.
• Evaluate new data sources and tools to improve model performance and efficiency.
• Collaborate with software, product, and business stakeholders on scalable ML solutions.

🎯 Requirements

• Senior-level backend software engineering with strong ML understanding and interest in ML expertise.
• Experience designing and maintaining ML infrastructure for large-scale
• Strong Python with ML tooling, experiment tracking, version control, containers, and automated
• Hands-on experience with MLOps: CI/CD, monitoring, reproducibility, data lineage, governance
• Cloud-native tech, Kubernetes, distributed computing, scalable ML infra.
• Understanding of AI concepts; experience with AI tools, coding assistants, LLM agents to improve

🎁 Benefits

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