ML Engineer for Project
I have a challenging but interesting task here. I'm looking for an ML engineer for a project: it's necessary to build a face indexing and search pipeline for a product in the field of protecting user photos online.
What needs to be done:
- Build a web crawler to collect public images from the open internet
- Implement a face inference pipeline (detection / alignment / embeddings)
- Design a vector index for searching through hundreds of millions of images
- Create an API that finds matches with sources based on a photo
- Set up monitoring and re-crawling to track the appearance of new photos
Important: You choose the architecture and stack — full ownership of technical decisions.
What's important in terms of experience:
- Proficient Python + ML inference stack (PyTorch / ONNX / TensorRT or similar)
- Experience with production systems involving face recognition or image similarity
- Experience building and operating crawlers at scale
- Working with vector databases (FAISS, Milvus, Qdrant, pgvector, etc.)
- Understanding of ANN search and scaling challenges
- Basic understanding of the legal aspects (GDPR / EU AI Act, etc.)
- Ability to work autonomously and deliver results
Will be a plus:
- GPU serving (Triton, Ray Serve, etc.)
- Distributed crawling + proxies
- Cost optimization (GPU / storage)
- Open-source / portfolio
📍 Remote
🧩 Project-based work
