Data Scientist

buscojobs Brasil; Vitória da Conquista; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A Brazilian job platform is seeking an experienced Data Scientist to develop and optimize data-driven models. The ideal candidate should have strong programming skills in Python and R, experience with generative AI models, and a solid understanding of data wrangling. This is an excellent opportunity to leverage advanced machine learning techniques in a collaborative environment.

Qualificações

• 5+ years of experience in data science or related field.
• Proficient in data manipulation and retrieval using SQL.
• Hands-on experience training and deploying generative models.

Responsabilidades

• Develop and optimize data-driven models for insights.
• Manage both structured and unstructured data effectively.
• Deploy AI models using cloud services.

Conhecimentos

Programming proficiency in Python

Data wrangling with Pandas

Experience with large language models

Expertise in Generative AI models

Strong proficiency in machine learning frameworks

Familiarity with cloud platforms for AI/ML

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)