Role overview
(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.
What you'll work on
- 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.
What we're looking for
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 [[email protected]]. Please include links to any deployed apps, AI agents, or CV projects.
Tags & focus areas
Used for matching and alerts on DevFound Parttime Ai Ai Engineer Machine Learning Computer Vision Mlops Pytorch Generative Ai