Posted:2 days ago|
Platform:
Work from Office
Full Time
Experience: 4+ years
Job Description:
We are looking for a Data Scientist with strong expertise in building and deploying Machine Learning and Deep Learning models, along with hands-on experience in Large Language Models (LLMs) and Natural Language Processing (NLP). The ideal candidate should have a proven track record of solving business problems using traditional ML and DL techniques, with emerging skills in generative AI and LLMs.
Key Responsibilities:
Design, develop, and optimize ML/DL models for structured and unstructured data. (Must have)
Apply NLP techniques for text classification, information extraction, and semantic understanding.
Fine-tune and evaluate LLMs for domain-specific use cases.
Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
Conduct model evaluation, performance monitoring, and explainability analysis.
Required Skills:
Strong proficiency in Python, ML libraries (scikit-learn, XGBoost, etc.), and DL frameworks (PyTorch/TensorFlow).
Hands-on experience in feature engineering, model selection, and deployment.
1+ year experience with LLMs (e.g., GPT, BERT family, HuggingFace).
Good understanding of NLP techniques such as embeddings, transformers, and text analytics.
Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
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