Senior ML Backend Engineer

📋 Description

• Build, maintain, and evolve scalable ML infrastructure for model development, training, evaluation
• Design reliable ML pipelines, platforms, and tooling for large-scale workloads.
• Partner with ML engineers to productionize models from prototypes.
• Develop automation, observability, reproducibility, data lineage, and governance across ML
• Evaluate new data sources, tech, platforms to improve performance and efficiency.
• Collaborate with engineering, product, and business stakeholders to deliver ML solutions.

🎯 Requirements

• Senior backend software engineer with strong ML understanding and interest in deeper ML expertise.
• Experience building ML infrastructure, platforms, and tooling for large-scale training, evaluation
• Strong Python proficiency with ML tooling, DL frameworks, experiment tracking, versioning
• Hands-on MLOps: CI/CD, model monitoring, reproducibility, data lineage, governance, production ops.
• Experience with cloud-native tech, Kubernetes, distributed computing for ML workloads.
• Understanding of AI concepts and use of AI tools, coding assistants, and LLM agents to enhance

🎁 Benefits

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