Python, Sql, Postgress DB, Library

4 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Python 4+ years of experience in Machine learning/Data Science, and Python. 4+ years of experience in NLP/GenAI/LLMs. Report to CES Innovation Lead and work under the supervision of the CES AI Science Lead. Work with ESG stakeholders to understand business problems and connect these problems with solvable data science solutions. Audit the different text data assets of the CES department and determine how to analyze these data assets for insights. Prepare high-quality training data with appropriate coverage of the ESG business domain. Apply and implement the latest natural language processing (NLP) research and approaches to solve business problems. Apply Large Language Models (both open source and managed versions) to build robust multiagentic retrieval augmented generation (RAG) pipelines. Stay current with the latest research advancements in the field and apply innovative solutions to complex language processing challenges. Required Skills (Mandatory) At least four years work experience in machine learning, Generative AI (GenAI) with experience in at least two of the following deep learning frameworks: SciKit-Learn, TensorFlow, MLflow, PyTorch, etc. At least four years of experience in NLP and Large Language Models (LLMs) with a comprehensive understanding of the underlying theories and principles including expertise in areas such as tokenization, embedding techniques, sequence-to-sequence models, attention mechanisms, and transformer architectures. In-depth understanding of text analytics and NLP concepts such as lemmatization, word segmentation, part-of-speech, tagging, stemming, Named-Entity Recognition, word2Vec, Doc2Vec, etc. Proficient in Machine Translation and Optical Character Recognition (OCR) for complex document processing (PDF, Word Documents, Scanned Documents). Expertise in Python with strong object-oriented design and programming skills with familiarity with CI/CD concepts. Proficient with parallel processing APIs such as Apache Spark and PySpark. Excellent problem-solving and analytical skills Show more Show less

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