Position Details
About this role
This role involves leading applied research in large language models, developing evaluation frameworks, fine-tuning models, and operationalizing AI solutions within the Agentic AI platform.
Key Responsibilities
- Research and validate domain-specific LLM solutions
- Develop evaluation metrics and frameworks
- Fine-tune and prompt optimize models
- Collaborate with engineering teams for deployment
- Build knowledge graphs and embeddings
Technical Overview
The technical environment includes Python, PyTorch, TensorFlow, Scikit-learn, Neo4j, RDF, DGL, with a focus on NLP, LLMs, knowledge graphs, and model deployment.
Ideal Candidate
The ideal candidate is a highly motivated data scientist with 3+ years of experience in applied machine learning, NLP, and LLMs, with strong Python skills and familiarity with graph databases like Neo4j. They should have a research-oriented mindset and experience deploying models in production.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python or ML libraries, No background in NLP or LLMs, Bachelor's degree not in a related field
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