Data Scientist

Experience: 3+ years

Commitment: 4 hours/day

Role & responsibilities

• Evaluate, fine-tune, and deploy production-ready models using the latest open-source and commercial model families (e.g., GPT-4o, Claude 3, Mixtral, LLaMA 3, Gemini).
• Develop and manage domain-specific generative models for tasks like summarization, classification, extraction, and generation using Transformers and LLMs.
• Build and maintain retrieval-augmented generation (RAG) pipelines, including vector databases (e.g., Weaviate, FAISS, LanceDB, Pinecone).
• Work with frameworks such as LangChain, LlamaIndex for prompt chaining, agent orchestration, and memory-enabled AI.
• Optimize for commercial KPIs such as inference cost, latency, model accuracy, and scalability.
• Keep up to date with the evolving landscape of AI/ML and recommend tools, models, or practices that can improve team capabilities.

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