Data Scientist

buscojobs Brasil; Paraná; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A leading job recruitment platform in Brazil is looking for a Data Scientist to handle data manipulation and manage large language models. The ideal candidate will have expertise in Python, experience with Generative AI, and knowledge of machine learning frameworks. This role offers a chance to work with advanced NLP techniques and cloud technologies.

Qualificações

• Proficiency in Python and R for data manipulation.
• Experience managing structured and unstructured data.
• Hands-on experience with large language models and advanced NLP techniques.

Responsabilidades

• Program and manipulate data using Python and R.
• Wrangle and preprocess data with tools like Pandas and NumPy.
• Train and deploy Generative AI models.

Conhecimentos

Programming in Python

Data wrangling with Pandas

NLP techniques

Machine learning frameworks

Cloud platforms (AWS, GCP, Azure)

Ferramentas

TensorFlow

PyTorch

Scikit-Learn

Descrição da oferta de emprego

Overview

Position Title : Data Scientist

Responsibilities

• Programming proficiency in Python and R, with experience in other languages (e.g., SQL) for data manipulation and retrieval
• Proficient in data wrangling and preprocessing with tools like Pandas, NumPy, and experience in managing both structured and unstructured data
• Hands-on experience with large language models (LLMs) and understanding of advanced NLP techniques, such as text generation, summarization, and sentiment analysis
• Expertise in Generative Al models (e.g., GANS, VAES, and transformer-based models like GPT, BERT) with hands-on experience in training, fine-tuning, and deploying these models
• Experience with fine-tuning pretrained models and applying transfer learning techniques to improve generative model performance
• Strong proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-Learn
• Understanding of evaluation metrics and methods for Generative Al models and data-driven insights
• Familiarity with cloud platforms (AWS, GCP, Azure) and their services for AI / ML, including model deployment and monitoring (e.g., AWS SageMaker, Google Al Platform)