Machine Learning Engineer, Data Phoenix

Responsibilities:

• You may not need to train models or build ML pipelines on a daily basis.
• Instead, the focus is on the development of tools that help other developers, ML engineers, and practitioners build their AI solutions using Qdrant products.
• Tasks that a successful candidate will work on include:
  • Work on Python-based libraries that extend the Qdrant ecosystem. Examples:
  • https://github.com/qdrant/fastembed
  • https://github.com/qdrant/qdrant-client
  • Develop Qdrant integration with other projects and frameworks.
  • Consult our users on best practices for building performant vector search solutions.

Requirements & Skills:

• Proven Python experience of 3+ years, including multiprocessing, PyTorch, Pydantic, etc.
• Experience with model inference in production. ONNX, triton, tensor-rt, etc.
• Practical experience with developing vector search applications.
• Familiarity with Machine Learning concepts like embeddings, metric learning, LLMs