(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.