Data Scientist

Role & responsibilities

• Proven ability in algorithm development targeting business and technical use cases.
• Hands-on experience with fine-tuning in frameworks like PyTorch, TensorFlow, or Hugging Face.
• Practical knowledge of LangChain and LangGraph for agent and workflow development.
• Proficiency in developing, optimizing, and querying vector databases (FAISS, Pinecone, Weaviate) for retrieval-augmented generation (RAG) and semantic search.
• Strong Python programming and experience with experimentation tools and performance benchmarks.
• Fluency in statistical analysis, feature engineering, and exploratory data analysis.

• Preferred:

• Experience with agent-based orchestration and multi-agent architectures.
• Knowledge in advanced search optimization, dense/sparse hybrid retrieval, and prompt engineering.
• Deployment familiarity with MLflow, Docker, or cloud-based solutions (AWS, GCP, Azure).
• Exposure to RAG pipelines, multi-modal data integration, and knowledge-graph techniques.

Preferred candidate profile:

• Any bachelor's or master's degree required; preferred in Data Science, Computer Science, Mathematics, Engineering, or a related quantitative field.
• 13 years of data science experience, including hands-on exposure to model development, fine-tuning, experimentation, and vector-based system integration.
• Demonstrated project or open-source experience with LangChain, agent development, or advanced retrieval pipelines is a strong advantage.

This position is with a USA-based partner company of Laksh Source Business Solutions.