Job Summary: We are seeking a highly skilled Data Scientist with strong expertise in Python, NLP, and Generative AI. The ideal candidate will have hands-on experience in building intelligent models using Natural Language Processing (NLP) techniques, working with large datasets, and leveraging LLMs (Large Language Models) to solve real-world business problems.
Key Responsibilities
Design, develop, and deploy machine learning and NLP models for text-based applications.
Work extensively with Python libraries such as Pandas, NumPy, and Scikit-learn for data processing and analysis.
Implement and optimize NLP techniques using tools like NLTK, SpaCy, or Transformers.
Build and integrate solutions using Large Language Models (LLMs) and Generative AI frameworks.
Perform data cleaning, preprocessing, and feature engineering on structured and unstructured datasets.
Develop pipelines for model training, evaluation, and deployment.
Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
Stay updated with the latest advancements in AI, NLP, and Gen AI technologies.
Required Skills & Qualifications
Strong programming experience in Python.
Hands-on experience with NLP (Natural Language Processing) techniques.
Proficiency in libraries such as NLTK, Pandas, NumPy, Scikit-learn.
Experience working with LLMs (e.g., GPT, BERT, etc.).
Knowledge of Generative AI concepts and frameworks.
Experience in data preprocessing, data analysis, and model building.
Understanding of machine learning algorithms and model evaluation techniques.
Strong problem-solving and analytical skills.
Preferred Qualifications
Experience with Deep Learning frameworks like TensorFlow or PyTorch.
Familiarity with Hugging Face Transformers or similar libraries.
Experience in deploying models using APIs or cloud platforms (AWS, Azure, GCP).
Knowledge of MLOps practices and model lifecycle management.
Education
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.