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.
• Develop automation, testing, observability, reproducibility, data lineage, and governance across ML
• Evaluate and integrate new data sources, technologies, platforms, and tools to improve model
• Collaborate with software engineering, technology, product, and commercial stakeholders to deliver

🎯 Requirements

• Senior-level backend software engineering experience with strong ML understanding and a desire to
• Experience designing, building, and maintaining ML infrastructure, platforms, and tooling for
• Strong proficiency in Python and ML tooling (deep learning frameworks, experiment tracking, version
• Hands-on experience with MLOps (CI/CD, model monitoring, reproducibility, data lineage, governance
• Experience with cloud-native technologies, Kubernetes, distributed computing, and scalable ML
• Understanding of AI concepts and practical experience using AI tools, coding assistants, and

🎁 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 infrastructure, distributed computing, ML platforms, and AI-enabled
• Contribute to responsible AI, model governance, security, and risk management practices.
• Collaborative environment with ML engineers, researchers, software engineers, product teams, and
• Professional growth through complex ML infra challenges.