Data Scientist

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

Resumo da oferta

A leading job platform in Brazil is seeking a Data Scientist to leverage programming skills in Python and R, manage structured and unstructured data, and deploy generative AI models. Ideal candidates have hands-on experience with NLP techniques and familiarity with cloud platforms like AWS or GCP, and proficiency in machine learning frameworks. This is a unique opportunity to work on cutting-edge AI projects.

Qualificações

• Experience in Python and R for data manipulation.
• Hands-on experience with large language models and NLP techniques.
• Strong proficiency in machine learning frameworks.

Responsabilidades

• Manipulate and retrieve data using Python and R.
• Manage structured and unstructured data.
• Fine-tune and deploy generative models.

Conhecimentos

Programming proficiency in Python

Proficient in data wrangling with Pandas and NumPy

Experience with large language models

Expertise in Generative AI models

Proficiency in machine learning frameworks

Familiarity with cloud platforms

Descrição da oferta de emprego

Position Title: Data Scientist

Position Summary:

• 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)