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 machine learning engineers and researchers to transition new models and approaches
• Develop automation, testing, observability, monitoring, reproducibility, data lineage, and
• Evaluate and integrate new data sources, technologies, platforms, and tools that can improve model
• Collaborate with software engineering, technology, product, and commercial stakeholders to deliver

🎯 Requirements

• Senior-level backend software engineering experience with a strong understanding of machine
• Experience designing, building, and maintaining machine learning infrastructure, platforms, and
• Strong proficiency in Python and modern machine learning engineering tools, including deep learning
• Hands-on experience with MLOps practices such as CI/CD, model monitoring, reproducibility, data
• Proven experience with cloud-native technologies, Kubernetes, distributed computing environments
• Demonstrated understanding of artificial intelligence concepts and practical experience using AI

🎁 Benefits

• Opportunity to work on advanced machine learning, computer vision, geospatial analytics, and AI
• Exposure to large-scale aerial and satellite imagery and technology supporting property
• Work with modern cloud-native infrastructure, distributed computing, ML platforms, and AI-enabled
• Opportunity to contribute to responsible AI, model governance, security, and risk management
• Collaborative environment involving machine learning engineers, researchers, software engineers
• Professional growth opportunities through work on complex, high-impact machine learning