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.
• Collaborate with ML researchers to move prototypes into production-ready systems.
• Develop automation, testing, observability, reproducibility, data lineage, and governance across ML
• Evaluate and integrate new data sources, technologies, platforms, and tools to improve performance
• Partner with software, product, and business stakeholders to deliver scalable ML solutions.

🎯 Requirements

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

🎁 Benefits

• Opportunity to work on advanced ML, computer vision, geospatial analytics, AI challenges.
• Exposure to large-scale aerial/satellite imagery and property intelligence tech.
• Work with modern cloud-native infra, distributed computing, ML platforms, and AI tooling.
• Contribute to responsible AI, model governance, security, and risk management practices.
• Collaborative environment with ML engineers, researchers, software engineers, product teams, and
• Professional growth through complex, high-impact ML infra challenges.