Senior NLP Data Scientist with Expertise in Machine Learning and Deep Learning

7 days ago

Mangalore, Karnataka, India Mresult Services Private Limited Full time

Key Responsibilities:


As a Senior NLP Data Scientist at Mresult Services Private Limited, you will play a key role in designing, developing, and implementing AI-based products. Your primary focus will be on working with cross-functional teams to develop NLP and machine learning models, ensuring they meet all technical and business requirements.


Requirements and Skills:


To be successful in this role, you must have a bachelor's or master's degree in computer science, engineering, mathematics, statistics, or a related field. A minimum of 3-5 years of experience in NLP-oriented data engineering or data science roles with a significant emphasis on working with ML, DL, and LLM/Generative AI models is also required.


You must have strong experience in NLP/NLG/NLU applications using popular machine learning algorithms such as logistic regression, clustering, boosting, bagging models, and LLMs. Proven experience in understanding and building Gen AI, LLM models, including data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning, prompt engineering, and ensuring the solution meets all technical and business requirements.


Proficiency in Python programming and familiarity with libraries and frameworks such as pandas, scikit-learn, PyTorch, TensorFlow, BERT, GPT (or similar models), and Langchain are also necessary. Additionally, you should have demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains.


Essential Skills:



  • Design, develop, and implement AI-based products
  • Work with cross-functional teams to develop NLP and machine learning models
  • Develop custom ML, Gen AI, NLP, LLM models
  • Train, validate, and test machine learning models in an AWS environment
  • Solve complex NLP problems using advanced machine learning algorithms
  • Work closely with other members of the data science, MLOps, and technology teams
  • Keep up to date with the latest industry trends and technologies

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