Senior ML Backend Engineer

📋 Description

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

🎯 Requirements

• Senior-level backend software engineering with strong ML understanding and interest in ML expertise.
• Experience designing/building ML infra, platforms, and tooling for large-scale
• Strong Python proficiency and ML tooling (DL frameworks, experiment tracking, version control
• Hands-on MLOps: CI/CD, model monitoring, reproducibility, data lineage, governance, production ops.
• Experience with cloud-native tech, Kubernetes, distributed computing, scalable ML infra.
• Knowledge of AI concepts and practical use of AI tools and LLM-based agents to improve workflows.

🎁 Benefits

• Work on advanced ML, computer vision, geospatial analytics, and AI challenges.
• Exposure to large-scale aerial/satellite imagery and property intelligence tech.
• Work with modern cloud-native infra, 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, product teams, and
• Professional growth through complex ML infra challenges.