Natural Language Processing Researcher
KitwareFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
The position is hybrid, requiring some office presence, and is managed by the Talent Acquisition team in India.
Required skills include strong proficiency in Python and deep learning frameworks like PyTorch or TensorFlow, solid understanding of NLP algorithms and transformer architectures, experience with open-source LLMs such as LLaMA or Mistral, expertise in embedding techniques and vector databases like Weaviate or Pinecone, and hands-on experience building NLP classification models.
Benefits include a hybrid setup, worker's insurance, paid time off, and other employee benefits to be discussed by the Talent Acquisition team in India.
A strong candidate has 4+ years of experience, passion for advancing open-source LLMs and embedding techniques, hands-on experience with classification models, plus preferred qualifications like customer support industry experience, MLOps knowledge, cloud deployment, open-source contributions, and prompt engineering.
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