Senior ML Backend Engineer

📋 Description

• Build, maintain, and evolve scalable ML infrastructure for model development, training, evaluation
• Design reliable, cost-effective ML pipelines, platforms, and tooling for large-scale workloads.
• Collaborate with ML engineers and researchers to productionize models from prototypes.
• Develop automation, observability, reproducibility, data lineage, and governance across ML
• Evaluate and integrate new data sources, platforms, and tools to improve performance and efficiency.
• Coordinate 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 for large-scale training, evaluation
• Strong Python proficiency and modern ML tooling (deep learning frameworks, experiment tracking
• Hands-on MLOps practices including CI/CD, model monitoring, reproducibility, data lineage
• Experience with cloud-native tech, Kubernetes, distributed computing, and scalable ML
• 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 imagery and property intelligence tech.
• Work with modern cloud-native infrastructure, distributed computing, ML platforms, and AI tools.
• Contribute to responsible AI, model governance, security, and risk practices.
• Collaborative environment with ML engineers, researchers, software engineers, and product teams.
• Professional growth through complex ML infrastructure challenges.