Data Scientist

The core responsibilities for the job include the following:

Machine Learning and Data Analysis:

• Assist in developing ML models for tasks like classification, regression, clustering, and recommendation.
• Perform data preprocessing, cleaning, and exploratory analysis.
• Support feature engineering and model evaluation under the guidance of senior team members.

Generative AI and NLP:

• Learn and experiment with LLMs and GenAI frameworks (e. g., OpenAI, Hugging Face, LangChain).
• Apply basic NLP techniques (tokenization, text classification, sentiment analysis, entity recognition).
• Support the development of AI-powered applications like summarizers, Q& A bots, or report generators.

Requirements:

• 5+ years of overall experience ( internships, projects and 2+ YOE in GenAI ).
• Proficiency in Python and key libraries (Pandas, NumPy, Scikit-learn).
• Basic understanding of statistics, probability, and ML algorithms.
• Exposure to NLP libraries (NLTK, spaCy, Hugging Face) is a plus.
• Familiarity with GenAI concepts (prompt engineering, fine-tuning) is an advantage.
• Knowledge of SQL (and basic NoSQL) databases.
• Exposure to cloud platforms (AWS, GCP, Azure) is desirable.
• Strong problem-solving mindset and eagerness to learn.
• Good communication skills and the ability to collaborate in a team.