Associate Data Scientist

Role Overview

We are seeking an Associate Data Scientist to support AI/ML engineering efforts by preparing, validating, and structuring data for LLM-driven systems. This is a hands-on role focused on real-world data processing, pipeline support, and model evaluation.

Key Responsibilities

• Process and clean structured and unstructured data for AI/ML pipelines.

• Prepare training-ready datasets for LLM fine-tuning and evaluation workflows.

• Support RAG and NL→SQL systems through data preparation and validation.

• Perform data quality checks and ensure completeness and consistency.

• Assist in building and maintaining data pipelines and APIs (e.g., FastAPI).

• Collaborate with engineering teams to troubleshoot and optimize data workflows.

Required Skills

• 1–3 years of experience in data processing or data-focused roles.

• Strong Python skills with experience in data libraries (Pandas, NumPy, Scikit-learn).

• Experience supporting LLM workflows (fine-tuning, prompt engineering, evaluation).

• Familiarity with structured (SQL) and unstructured text data.

• Understanding of data preparation for AI/ML systems.

Nice to Have

• Exposure to RAG pipelines, embeddings, or evaluation metrics.

• Experience with ML frameworks (PyTorch/TensorFlow) and Docker-based workflows.

• Experience with CI/CD pipelines for ML systems.

• Familiarity with vector databases (e.g., Chroma) and reranking techniques.

• Research exposure to Transformer-based architectures.