MLOps Engineer

📋 Description Build Production AI Systems: design backend services integrating DL models and CV. Power experimentation and validation: offline experiments and POC to move to production. Develop Data Pipelines: build scalable pipelines feeding Nanit's AI. Own What You Ship: end-to-end feature ownership from planning to production monitoring. Cross-functional Collaboration: work with Algorithms and Data teams to ship maintainable systems. Backend Guild Engagement: contribute to backend standards across the R&D team. 🎯 Requirements 3-5 years of backend software development experience. Production systems on AWS with Docker/Kubernetes, CI/CD, Grafana/Prometheus. Programming: Python or Rust. Web services experience with REST and WebSocket APIs. AI tooling experience in daily workflow. Strong problem solving and self-learning mindset. 🎁 Benefits Impact: help build AI foundation that changes lives. Growth investment and resources for engineers. Culture of continuous learning and innovation. Equal-opportunity employer. Flexible, open environment with work-life balance. International company with diverse team.