Senior ML Backend Engineer

📋 Description

• Build, maintain, and evolve scalable ML infrastructure for model dev, training, evaluation
• Design reliable, cost-effective ML pipelines, platforms, and tooling for large-scale workloads.
• Partner with ML engineers and researchers to productionize models from prototypes.
• Develop automation, observability, reproducibility, data lineage, and governance across ML
• Evaluate/integrate new data sources, tech, platforms, and tools to improve performance and
• Collaborate with software engineering, product, and stakeholders to deliver ML solutions.

🎯 Requirements

• Senior-level backend software engineering with strong ML understanding and growth mindset.
• Experience designing/building ML infrastructure for large-scale training, evaluation, and
• Strong Python proficiency and ML tooling: deep learning frameworks, experiment tracking, version
• 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 using 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 and satellite imagery and property intelligence tech.
• Work with modern cloud-native infra, distributed computing, ML platforms, and AI-enabled tools.
• Contribute to responsible AI, model governance, security, and risk management practices.
• Collaborative environment with ML engineers, researchers, software engineers, product teams, and
• Professional growth on complex, high-impact ML infrastructure challenges.