Senior ML Backend Engineer

📋 Description

• Build, maintain, and evolve scalable ML infrastructure for model development, training, evaluation
• Design reliable, cost-efficient ML pipelines, platforms, and tooling for large-scale workloads.
• Collaborate with ML researchers to move models from prototypes to production systems.
• Develop automation, testing, observability, monitoring, reproducibility, data lineage, and
• Evaluate and integrate new data sources, technologies, platforms, and tools to improve performance
• Partner with software engineering, product, and business stakeholders to deliver scalable ML

🎯 Requirements

• Senior-level backend software engineering with strong ML understanding and a drive to deepen ML
• Experience designing and maintaining ML infrastructure, platforms, and tooling for large-scale
• Strong Python proficiency and experience with ML tooling, experiment tracking, version control
• Hands-on MLOps experience (CI/CD, model monitoring, reproducibility, data lineage, governance
• Proven experience with cloud-native technologies, Kubernetes, distributed computing, and scalable
• Knowledge of AI concepts and practical use of AI tools, coding assistants, and LLM-based agents to

🎁 Benefits

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