Intermediate AI/ML Engineer
Core
Design, build, and deploy end-to-end machine learning solutions for video analytics and operational intelligence, integrating models into production systems for cloud and edge environments.
Role type
Intermediate IC AI/ML Engineer (applied/product-focused)
Builds
Video analytics features, real-time operational insights, and ML-powered security tools for enterprise customers.
Domain
Video security, computer vision, and applied AI in high-volume operational contexts.
Deliverable
production ML models | product features
Required skills
Python, PyTorch or TensorFlow, Node.js/React/Rust/JavaScript/TypeScript, MLOps pipelines, model training and optimization, third-party LLM/VLM evaluation, full SDLC contribution, cross-functional ML/software engineering.
Preferred skills
Computer vision, LLMs, multimodal models, cloud environments (AWS), edge/embedded systems (Ubuntu, AI accelerators), video data pipelines at scale.
Technologies
PyTorch, TensorFlow, Node.js, React, Rust, JavaScript, TypeScript, AWS, Ubuntu, AI accelerators.
Responsibilities
Design, develop, train, and deploy ML models (CV, LLMs, VLMs); integrate third-party AI services; participate in full SDLC from PoC to deployment; contribute to MLOps pipelines; optimize model filter chains; collaborate on model requirements and predictive insight features.
Seniority
Intermediate, hands-on IC
