We’re looking for a Founding Lead Machine Learning Engineer to play a pivotal role in developing and training models, pipelines, and methodologies that power semantic graph systems.
This is a founding role where you’ll have the chance to shape the future of the company's AI products and drive key decisions on all things machine learning.
What You’ll Do :
- Build and fine-tune best-in-class models for knowledge extraction and information retrieval from diverse data sources.
- Develop methods to construct and evaluate AI Data Graphs, integrating semantic learning and generative AI.
- Fine-tune large language models (LLMs) with domain-specific knowledge.
- Collaborate with data infrastructure engineers to build the best platform for your needs.
What We’re Looking For :
- 3+ years of experience in Machine Learning or Knowledge Extraction.
- Expertise in NLP, LLMs (e.g., BERT, GPT), and embedding-based retrieval.
- Strong background in ML fundamentals and experience deploying ML or NLP models in production.
- Familiarity with tools like spaCy, OpenNLP, and GLiNER.
- Startup experience is a huge plus!
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