Data Scientist - NLP

October 25

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Crowdsourcing • Business Process Outsourcing • Technology • Contact Center Outsourcing • E-Learning

201 - 500

💰 Debt Financing on 2018-03

Description

• Design, build, and fine-tune large Language Model-based approaches for natural language understanding and generation tasks. • Train, fine-tune, and optimize Automatic Speech Recognition (ASR) models using private datasets. • Develop, train, and evaluate custom NLP models for a variety of applications including text summarization, sentiment analysis, named entity recognition. • Conduct data curation, preprocessing, and feature engineering for NLP datasets. • Develop and improve existing pipelines to train, evaluate and deploy ML models. • Continuously monitor system performance, troubleshoot issues, and implement improvements/optimizations. • Collaborate with cross-functional teams to integrate NLP solutions into production environments. • Stay updated with the latest trends and advancements in NLP and deep learning.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Strong proficiency in Python, with extensive experience in PyTorch and/or TensorFlow. • Familiarity with NLP libraries such as NLTK, SpaCy, and Hugging Face Transformers. • Proven experience in managing and analysing large text and/or audio datasets. • Strong understanding of foundational DL algorithms. • Experience with unit and integration tests (Pytest) and CICD pipelines. • Experience with data versioning, model management, experiment tracking. • Familiarity with key evaluation metrics and optimization techniques. • Extensive knowledge and hands-on experience in Docker. • Excellent problem-solving, analytical, and communication skills. • Extensive experience and demonstrated proficiency in developing Large Language Models (LLMs). • Experience with Prompt Engineering techniques (e.g., few-shot prompting, chain-of-thought reasoning), Retrieval Augmented Generation (RAG). • Proven track record in developing ASR or TTS systems. • Hands-on experience with Vector/Graph Databases and their use in semantic search. • Proficiency with Azure services, including ML Studio, Functions, and Blob Storage.

Benefits

• We offer a highly competitive salary • A detailed company training on highest standards • A chance to work in friendly and supportive culture • Tremendous growth opportunities in a large fast moving international company