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.
• Collaborate with ML engineers to move models from prototypes to production-ready systems.
• 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 scalable ML solutions.

🎯 Requirements

• Senior-level backend software engineering with strong ML understanding and interest in deeper ML
• Experience designing and maintaining ML infrastructure for large-scale training, evaluation, and
• Strong proficiency in Python and ML engineering tools including deep learning frameworks
• Hands-on experience with MLOps (CI/CD, model monitoring, reproducibility, data lineage, governance
• Proven experience with cloud-native tech, Kubernetes, distributed computing, and scalable ML infra.
• Understanding of AI concepts and experience using AI tools, coding assistants, and LLM-based agents

🎁 Benefits

• Opportunity to 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.
• Opportunity to contribute to responsible AI, governance, security, and risk practices.
• Collaborative environment with ML engineers, researchers, software engineers, product teams, and
• Professional growth through complex, high-impact ML infra challenges.