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/researchers to productionize models from prototypes.
• Develop automation, testing, observability, reproducibility, data lineage, and governance across ML
• Evaluate and integrate new data sources, technologies, and tools to improve performance and
• 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, building, and maintaining ML infrastructure, platforms, and tooling for
• Strong proficiency in Python and ML engineering tools, including DL frameworks, experiment
• 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
• Experience using AI tools, coding assistants, and LLM-based agents to enhance engineering

🎁 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 cloud-native infra, distributed computing, ML platforms, and AI-enabled 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 infra challenges.