Senior ML Backend Engineer

📋 Description

• Build, maintain, and evolve scalable ML infrastructure for model development, training, evaluation
• 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, observability, reproducibility, data lineage, and governance across ML
• Evaluate new data sources, technologies, platforms, and tools to improve model performance and
• Collaborate with software, product, and business stakeholders to deliver scalable ML solutions.

🎯 Requirements

• Senior backend software engineer with strong ML interest/experience.
• Experience designing, building, and maintaining ML infra, platforms, and tooling for large-scale
• Strong Python proficiency and ML engineering tooling (deep learning frameworks, experiment
• Hands-on MLOps: CI/CD, model monitoring, reproducibility, data lineage, governance, and production
• Experience with cloud-native tech, Kubernetes, distributed computing, and scalable ML
• Understanding of AI concepts and practical use of AI tools, coding assistants, and LLM-based agents

🎁 Benefits

• Work on advanced ML, computer vision, geospatial analytics, and AI challenges.
• Exposure to large-scale aerial and satellite imagery for property intelligence solutions.
• Cloud-native infra, distributed computing, ML platforms, and AI-enabled tooling.
• Opportunity to contribute to responsible AI, model governance, security, and risk management.
• Collaborative environment with ML engineers, researchers, software engineers, and product teams.
• Professional growth through complex, high-impact ML infra projects.