Senior ML Backend Engineer

📋 Description

• Build, maintain, and evolve scalable ML infra for model dev, training, evaluation, deployment, and
• Design reliable ML pipelines and tooling for large-scale workloads.
• Collaborate with ML researchers to productionize models.
• Develop automation, observability, reproducibility, data lineage, and governance.
• Evaluate new data sources and tools to boost performance and efficiency.
• Work with software, product, and business stakeholders on ML solutions.

🎯 Requirements

• Senior backend engineering with strong ML understanding and interest to deepen ML expertise.
• Experience building ML infra for large-scale training, eval, deployment.
• Strong Python skills and ML tooling (experimentation, versioning, containers, workflows).
• Hands-on MLOps: CI/CD, monitoring, reproducibility, data lineage, governance, prod ops.
• Experience with cloud-native tech, Kubernetes, distributed infra for ML workloads.
• Understanding of AI concepts and practical use of AI tools and LLM agents.

🎁 Benefits

• Work on advanced ML, CV, geospatial analytics, and AI challenges.
• Exposure to aerial/satellite imagery and property intelligence tech.
• Work with cloud-native infra, distributed computing, ML platforms.
• Contribute to responsible AI, governance, security, and risk practices.
• Collaborative environment with ML, software, product teams, and stakeholders.
• Professional growth on complex ML infra projects.