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.