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Candidates must have deep expertise in Python, PyTorch, sklearn, embeddings, vector databases, graph databases, LLM APIs (i.e., OpenAI, Claude, Gemini, Llama, Mistral, etc.) , LLM prompt engineering, LLM fine tuning, ML model hyperparameter tuning, and paradigms like RAG and ReAct/CoT/ToT. As part of a small cross-functional team, you will be working across components and services.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Integrate with data storage solutions such as SQL Server/Spark/Vector DB/Search. Particularly the candidate should have knowledge of NLP based services, such as Chat GPT/OpenAI, and experience of prompt engineering, embeddings, fine tuning etc.
$81,500 - $128,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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A minimum of a bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or equivalent experience through demonstrable work experienceNice to have: experience in fast growing startups in the AI space with a focus on GenAI, NLP, CV, and diffusion models.
$221,800 - $392,300ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will report to the Director of Engineering for Experience. Since creating the “vector database” category, demand has grown incredibly fast and it shows in our user base. The demand for vector databases is growing incredibly fast, and it shows in our user base.
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