Senior ML Backend Engineer

📋 Description

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

🎯 Requirements

• Senior-level backend software engineering experience with strong ML understanding and interest in
• Experience designing, building, and maintaining ML infrastructure, platforms, and tooling for
• Strong proficiency in Python and modern ML engineering tools, including deep learning frameworks
• Hands-on experience with MLOps practices such as CI/CD, model monitoring, reproducibility, data
• Proven experience with cloud-native technologies, Kubernetes, distributed computing environments
• 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-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, high-impact ML infrastructure challenges and inclusive culture.