Senior ML Backend Engineer

📋 Description

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

🎯 Requirements

• Senior-level backend software engineering with strong ML understanding and interest in ML expertise.
• Experience building ML infrastructure for large-scale training, evaluation, and deployment.
• Strong Python proficiency and ML engineering tooling (experimentation tracking, version control
• Hands-on MLOps: CI/CD, model monitoring, reproducibility, data lineage, governance, production ops.
• Cloud-native tech, Kubernetes, distributed computing, scalable ML infrastructure.
• Experience with AI tools, coding assistants, and LLM-based agents to enhance workflows; responsible

🎁 Benefits

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