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Job Description

Description :

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


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