Data Scientist - Generative AI (7-10 yrs)

- 7+ years of experience in NLP-oriented data engineering or data science roles with a significant emphasis on working with ML, DL, and LLM/Generative AI models.

- Must have strong experience in NLP/NLG/NLU applications using popular machine learning algorithms such as Logistic Regression, Clustering, Boosting, Bagging models, and LLMs, etc.

Must have proven experience in understanding and building Gen AI, LLM models. Model components will include - data ingestion, preprocessing, search and retrieval, Retrieval-Augmented Generation (RAG), NLP/LLM model development, fine-tuning, prompt engineering, and ensuring the solution meets all technical and business requirements.

- Proficiency in Python programming and familiarity with libraries and frameworks such as Pandas, Scikit-learn, PyTorch, TensorFlow, BERT, GPT (or similar models), and Langchain.

- Demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains.

- Excellent analytical and problem-solving skills, capable of working independently and collaboratively in a team-oriented environment.

- Work closely with other members of the data science, MLOps, and technology teams in the design, development, and implementation of the ML model solutions.