Senior ML Backend Engineer

📋 Description

• Build, maintain, and evolve scalable ML infrastructure for development, 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, reproducibility, data lineage, and governance across ML

🎯 Requirements

• Senior backend with strong ML interest and production mindset.
• Design/build/maintain ML infra for large-scale training, eval, deployment.
• Strong Python proficiency and ML tooling (DL frameworks, experiment tracking, VCS
• Hands-on MLOps: CI/CD, model monitoring, reproducibility, data lineage, governance, prod ops.
• Experience with cloud-native tech, Kubernetes, distributed computing for ML workloads.
• Familiarity with AI concepts and AI tools, coding assistants, and LLM-based agents.

🎁 Benefits

• Opportunity to work on advanced ML and AI challenges with aerial imagery tech.
• Exposure to cloud-native infrastructure and AI-enabled engineering tools.
• Collaborative environment across ML, software, product, and business teams.
• Professional growth through complex ML infrastructure projects.