Middle Machine Learning Engineer

at  Qdrant

We are developing Qdrant, an open-source vector database that enables developers to use cutting-edge, blazing-fast vector similarity search technology. Our flagship product is the open-source Vector Similarity Search Engine: https://github.com/qdrant/qdrant Our mission is to provide a scalable, cost-effective, open-source solution that simplifies the development of applied-AI applications.
We provide support to our customers and early adopters, enabling them to harness the capabilities of Large Language Models (LLMs) and vector search in their business operations. Our aim is to assist them in integrating a modern AI stack into their processes.

Tasks

• Build prototype applications which use LLM and vector search under the hood
• Fine-tune machine learning models on custom data
• Deploy developed solutions into production

Requirements

• Python Experience: Mininum 3 years of professional python development
• Python Ecosystem: FastAPI, Celery, Streamlit
• ML Stack: PyTorch, numpy, pandas, sentence-transformers
• Tools: Docker, git, linux, bash

Benefits

• Opportunity to work with a modern artificial intelligence stack.
• No legacy code, result-oriented development
• Fully Remote & Timezone-Friendly: Enjoy the flexibility of a full-remote position, accommodating diverse time zones for optimal work-life balance.

• Build prototype applications which use LLM and vector search under the hood
• Fine-tune machine learning models on custom data
• Deploy developed solutions into productio