Data Scientist and AI Specialist

Role overview

Responsibilities

• check_circle LLM Integration & Fine-Tuning: Design, implement, and optimize applications utilizing Large Language Models (LLMs) via APIs and open-source frameworks (e.g., LangChain, LlamaIndex).
• check_circle Vector Database Architecture: Architect, manage, and scale vector search infrastructure (e.g., Pinecone, Milvus, Qdrant, Weaviate, pgvector) for high-performance semantic search and retrieval-augmented generation (RAG) pipelines.
• check_circle Knowledge Graph Development: Design and construct Knowledge Graphs to structure complex domain data, integrating them with LLMs and vector search to improve reasoning and context retrieval (GraphRAG).
• check_circle Python Scripting & Pipeline Automation: Write robust, production-ready Python code to automate data ingestion, preprocessing, embedding generation, and model evaluation.
• check_circle Collaboration & Deployment: Work closely with cross-functional teams (Software Engineers, Data Engineers, and Product Managers) to deploy AI models into scalable cloud production environments.

Basic qualifications

• Experience: 3+ years of professional experience in Data Science, Machine Learning, or Artificial Intelligence, with a strong focus on NLP and generative AI.
• Programming: Advanced proficiency in Python scripting and modern ML libraries
• Education: BS in Technical Domain