
10.000+ funcionários
💰 $2.000.000 Venture Round em 2015-01
Escolher um parceiro digital vai além das capacidades — trata-se de colaboração e caráter.
🕒 Março 7
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

10.000+ funcionários
💰 $2.000.000 Venture Round em 2015-01
Escolher um parceiro digital vai além das capacidades — trata-se de colaboração e caráter.
• Conduct detailed exploratory data analysis (EDA) on structured and unstructured text datasets to derive insights and inform model development. • Design, build, and evaluate models for a variety of NLP tasks, including: • Text classification • Named entity recognition (NER) • Information extraction from unstructured documents • Develop and refine regular expressions, traditional NLP pipelines, and transformer-based models to support business use cases. • Write high-quality, production-grade Python code, following best practices for scalability, testing, and maintainability. • Apply Generative AI techniques and prompt engineering to enhance automation and downstream applications. • Collaborate closely with machine learning engineering teams to deploy, monitor, and optimize NLP solutions in production. • Utilize cloud technologies such as Azure or AWS to build, train, and manage ML workloads.
• United States citizenship (required). • 3+ years of experience in data science, with significant focus on NLP. • Demonstrated expertise in text-based EDA, NLP model development, and working with unstructured data. • Strong proficiency in Python and NLP/ML libraries (e.g., spaCy, NLTK, Hugging Face Transformers, scikit-learn). • Hands-on experience with Generative AI models and prompt engineering. • Strong understanding of machine learning fundamentals, model evaluation, and experiment design. • Ability to translate business needs into technical solutions and communicate complex concepts effectively. • Experience deploying NLP solutions in production environments in partnership with ML engineering teams. • Hands-on experience with cloud platforms, including Microsoft Azure or Amazon Web Services (AWS). • Familiarity with CI/CD workflows, containerization (e.g., Docker), or distributed computing frameworks.
• For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
Candidatar-se🕒 Março 5
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