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 transition models from prototypes to production.
• 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 engineering, product, and business stakeholders to deliver scalable ML

🎯 Requirements

• Senior-level backend software engineering experience with strong ML understanding and interest in
• Experience building ML infrastructure, platforms, and tooling for large-scale training, evaluation
• Strong proficiency in Python and ML tooling (deep learning frameworks, experiment tracking, version
• Hands-on MLOps practices (CI/CD, model monitoring, reproducibility, data lineage, governance
• Proven experience with cloud-native tech, Kubernetes, distributed computing, scalable ML
• Understanding of AI concepts and practical use of 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 and property intelligence tech.
• Work with modern cloud-native infrastructure, distributed computing, ML platforms, and AI tools.
• 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 infrastructure challenges.