Job Description

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

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  Design, develop, and deploy machine learning and NLP models for text-based applications.
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  Work extensively with Python libraries such as Pandas, NumPy, and Scikit-learn for data processing and analysis.
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  Implement and optimize NLP techniques using tools like NLTK, SpaCy, or Transformers.
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  Build and integrate solutions using Large Language Models (LLMs) and Generative AI frameworks
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  Perform data cleaning, preprocessing, and feature engineering on structured and unstructured datasets.
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  Develop pipelines for model training, evaluation, and deployment
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  Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
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  Stay updated with the latest advancements in AI, NLP, and Gen AI technologies

Required Skills & Qualifications

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  Strong programming experience in Python
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  Hands-on experience with NLP (Natural Language Processing) techniques.
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  Proficiency in libraries such as NLTK, Pandas, NumPy, Scikit-learn
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  Experience working with LLMs (e.g., GPT, BERT, etc.)
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  Knowledge of Generative AI concepts and frameworks
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  Experience in data preprocessing, data analysis, and model building.
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  Understanding of machine learning algorithms and model evaluation techniques
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  Strong problem-solving and analytical skills.

Preferred Qualifications

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  Experience with Deep Learning frameworks like TensorFlow or PyTorch.
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  Familiarity with Hugging Face Transformers or similar libraries.
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  Experience in deploying models using APIs or cloud platforms (AWS, Azure, GCP)
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  Knowledge of MLOps practices and model lifecycle management.

Education

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  Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field