Senior ML Backend Engineer

📋 Description

• Build, maintain, and evolve scalable machine learning infrastructure supporting model development
• Design reliable, cost-effective ML pipelines, platforms, and tooling for large-scale workloads.
• Partner with ML engineers and researchers to productionize models from prototypes.
• Develop automation, testing, observability, monitoring, reproducibility, data lineage, and
• Evaluate and integrate new data sources, technologies, platforms, and tools to improve performance
• Collaborate with software, product, and business stakeholders to deliver ML solutions.

🎯 Requirements

• Senior-level backend software engineering with strong ML interest.
• Experience designing and maintaining ML infrastructure for large-scale training, evaluation
• Strong Python proficiency and ML tooling experience (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 for ML workloads.
• Familiar with AI tools, coding assistants, LLM-based agents to enhance workflows.

🎁 Benefits

• Work on advanced ML, computer vision, geospatial analytics, AI challenges.
• Exposure to large-scale aerial and satellite imagery for property intelligence.
• Work with cloud-native infra, distributed computing, ML platforms, and AI tools.
• Contribute to responsible AI, model governance, security, and risk practices.
• Collaborative environment with ML, researchers, software, and product teams.
• Professional growth on complex ML infra challenges.