Senior ML Backend Engineer

📋 Description

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

🎯 Requirements

• Senior backend experience with strong ML understanding and desire to deepen ML expertise
• Experience building ML infra, platforms, tooling for large-scale training/evaluation/deployment
• Strong Python and ML tooling; experience with deep learning frameworks, experiment tracking
• Hands-on MLOps: CI/CD, model monitoring, reproducibility, data lineage, governance, production ops
• Cloud-native tech, Kubernetes, distributed computing for ML workloads
• Experience using AI tools, coding assistants, LLM-based agents to boost engineering workflows

🎁 Benefits

• Work on advanced ML, computer vision, geospatial analytics, and AI challenges
• Exposure to large-scale aerial and satellite imagery for property intelligence
• Cloud-native infra, distributed compute, ML platforms, AI-enabled tools
• Contribute to responsible AI, model governance, security, and risk management
• Collaborative environment with ML, software, product and stakeholders
• Professional growth on complex ML infra challenges