AI Engineer – Computer Vision, AI Agents & Model Deployment (Part-Time)

(Part-Time) • We're looking for a talented and self-driven Part-Time AI Engineer with hands-on experience in deploying Computer Vision, and machine learning models to production environments. • You'll play a key role in designing and integrating intelligent systems into real-world applications, with a focus on fast iteration and production-readiness.

Key Responsibilities: • Assist in developing and fine-tuning computer vision models for tasks such as detection, recognition, and tracking. • Assist in integrating AI agent workflows using LLMs (e.g., GPT, Claude) with tools like LangChain or AutoGen. • Design and implement scalable model deployment pipelines (REST APIs, containers, etc.). • Collaborate with team members across product, design, and backend teams. • Maintain code quality, versioning, and experiment tracking.

Qualifications:

Must-have: • Strong experience with Python, PyTorch, and OpenCV. • Knowledge of MLOps best practices and CI/CD. • Familiarity with LLMs and building agents (e.g., LangChain, OpenAI API, HuggingFace). • Familiarity with tools like Streamlit or Gradio for rapid prototyping. • Experience deploying models with FastAPI, Docker, AWS/GCP, or similar. • Understanding of model lifecycle management and version control (e.g., Git, MLflow). • Ability to work independently and manage time effectively. • Familiarity with research papers and experience reading arXiv or conference papers • Excellent communication skills

Nice-to-have: • Experience with edge deployment (e.g., TensorRT, mobile inference). • Optimize inference for production (ONNX, TorchScript, quantization, etc.). • Background in Reinforcement Learning or Autonomous Agents. • Send your resume, GitHub/portfolio link, and a brief intro explaining your relevant experience to [sethuraman@yoona.ai]. Please include links to any deployed apps, AI agents, or CV projects.