Senior ML Backend Engineer

📋 Description

• Build, maintain, and evolve scalable ML infra for model development, training, evaluation
• Design reliable ML pipelines, platforms, and tooling for large-scale workloads.
• Partner with ML engineers and researchers to productionize models.
• Develop automation, testing, observability, reproducibility, data lineage, and governance across ML
• Evaluate new data sources, technologies, platforms, and tools to improve performance and efficiency.
• Collaborate with software, technology, product, and commercial teams to deliver ML solutions.

🎯 Requirements

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

🎁 Benefits

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