Data Scientist

buscojobs Brasil; Santa Catarina; Presencial; BRL 100.000 - 140.000; Tempo integral

Resumo da oferta

A leading job platform in Brazil is seeking a Data Scientist proficient in Python and R. The ideal candidate has hands-on experience with large language models and expertise in Generative AI techniques. Responsibilities include data manipulation, model training, and deployment in cloud environments. Strong background in machine learning frameworks is required for this position.

Qualificações

• Proficient in programming with Python and R.
• Hands-on experience with large language models.
• Strong understanding of Generative AI evaluation techniques.

Conhecimentos

Python programming proficiency

Data wrangling with Pandas and NumPy

Experience with large language models

Knowledge of Generative AI models

Proficiency in machine learning frameworks

Cloud platforms familiarity

Ferramentas

TensorFlow

PyTorch

Scikit-Learn

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)