Key skills
PythonPyTorchTensorflowAIMachine LearningDeep LearningNLPNatural Language ProcessingGenerative AITensorFlowHugging FaceCommunicationCollaborationCustomer SuccessSales
About this role
Role Overview
- Research, design, and develop innovative generative AI models and algorithms.
- Implement and optimize deep learning architectures for generative tasks, with a focus on text generation.
- Collaborate with cross-functional teams to define goals, requirements, and deliverables, and implement features.
- Train and fine-tune models using large-scale datasets and advanced techniques.
- Evaluate and assess model performance, making necessary adjustments to improve results.
- Stay up to date with the latest advancements in generative AI trends and tools, and contribute to the team’s knowledge base.
- Write clean, efficient, and maintainable code, following best practices and coding standards.
- Document research findings, methodologies, and technical specifications.
- Participate in code reviews and provide constructive feedback to peers.
- Contribute to the development of tools and frameworks to facilitate generative AI research and development.
- Interpret insights from our pre-sales, sales, customer success teams, and clients to create AI-based features.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Advanced or fluent English proficiency.
- Strong understanding of machine learning, deep learning, and generative models.
- Proficiency in Python, TensorFlow, PyTorch, and other deep learning tools.
- Familiarity with the Hugging Face Transformers library and pre-trained models such as GPT-2, BERT, and others.
- Experience developing and training deep learning models using large-scale datasets.
- Solid understanding of neural network architectures (CNN, RNN, LSTM, Transformers), optimization techniques, and loss functions.
- Familiarity with natural language processing (NLP) tools and frameworks.
- Strong problem-solving skills and the ability to think creatively.
- Excellent communication and collaboration skills.
- Ability to work independently and manage multiple projects simultaneously.
Tech Stack
- Python
- PyTorch
- Tensorflow
Benefits
- Healthcare
- Dental care
- BRL 1,400.00/month on a Caju card (for food and meal allowance, transportation, home office supplies, culture, health, and education)
- Life insurance
- Child care assistance
- Wellhub (Gympass)
- English course: group classes available through a partnership for BRL 100/month
- Global Equity Program