Senior ML Backend Engineer

📋 Description

• Build and evolve scalable ML infrastructure for training, evaluation, deployment, and monitoring.
• Design reliable ML pipelines, platforms, and tooling for large-scale workloads.
• Collaborate with ML engineers to productionize models from prototypes.
• Develop automation, observability, data lineage, governance, and reproducibility.
• Evaluate new data sources, tools, and platforms to improve performance and efficiency.
• Collaborate with software, product, and business stakeholders on ML solutions.

🎯 Requirements

• Senior backend software experience with strong ML understanding and interest to deepen ML expertise.
• Experience building ML infrastructure for large-scale training, eval, deployment.
• Strong Python and ML tooling; experiment tracking, VCS, containers, automation.
• Hands-on MLOps: CI/CD, monitoring, reproducibility, data lineage, governance.
• Cloud-native tech, Kubernetes, distributed computing, scalable ML infra.
• Experience using AI tools, coding assistants, LLM-based agents to boost 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 cloud-native infra, distributed computing, ML platforms, AI tools.
• Contribute to responsible AI, governance, security, and risk mgmt practices.
• Collaborative environment with ML engineers, researchers, software engineers, product teams.
• Professional growth through complex ML infra challenges.