MLOps Engineer
Core
Build production AI systems integrating Deep Learning, Computer Vision, and GenAI into scalable features for parents.
Role type
MLOps Engineer (backend IC)
Builds
End-to-end AI solutions, data pipelines, and experimentation/validation layers for Nanit's predictive parenting intelligence.
Domain
Consumer hardware / Computer Vision / AI Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Backend software development, Cloud platform operations (AWS), Containerization (Docker/Kubernetes), CI/CD, Observability (Grafana/Prometheus), REST/WebSocket APIs, Python or Rust
Preferred skills
ML model lifecycle management, Data engineering (Dagster/Airflow/Iceberg), TensorFlow/PyTorch, Distributed systems, Message queues (Kafka/RabbitMQ/SQS)
Technologies
AWS, Docker, Kubernetes, Grafana, Prometheus, Python, Rust, TensorFlow, PyTorch, Kafka, RabbitMQ, SQS, Dagster, Airflow, Iceberg
Responsibilities
Design and implement backend services integrating DL models and CV algorithms; Build and maintain scalable data pipelines; Contribute to offline experimentation and validation layers; Own features end-to-end from planning to production monitoring; Collaborate with Algorithms and Data teams; Contribute to backend guild best practices.
Seniority
Mid-level, hands-on IC
