Senior ML Backend Engineer

📋 Description

• Build, maintain, and evolve scalable machine learning infrastructure supporting model development
• Design reliable, cost-effective ML pipelines, platforms, and engineering tooling for large-scale
• Partner with ML engineers and researchers to productionize models from prototypes.
• Develop automation, testing, observability, monitoring, reproducibility, data lineage, and
• Evaluate and integrate new data sources, platforms, and tools to improve model performance and
• Collaborate with stakeholders to deliver scalable ML solutions and apply AI-powered tools to

🎯 Requirements

• Senior-level backend software engineering with strong ML understanding and interest in deeper ML
• Experience designing, building, and maintaining ML infrastructure, platforms, and tooling for
• Strong Python proficiency and ML tooling (experimentation tracking, version control
• Hands-on MLOps experience: CI/CD, model monitoring, reproducibility, data lineage, governance
• Experience with cloud-native tech, Kubernetes, distributed computing, scalable ML infrastructure.
• 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 practices.
• Collaborative environment with ML engineers, researchers, software engineers, and product teams.
• Professional growth through tackling complex ML infra challenges.