Job description
About Digibee
Digibee is an iPaaS that scales integration workflows while reducing cost and technical debt. Rather than require specialized integration experts, Digibee lets every developer quickly build, test, deploy, govern, and monitor integrations across on-premise and cloud environments using a simple but powerful low-code interface.
Founded in São Paulo, Brazil, in 2017 and headquartered in Weston, Florida, our team is widely distributed throughout the Americas. In May of 2023, Digibee closed a Series B funding round of $60 million that is intended to drive our expansion in the United States.
About the role
We are seeking a highly skilled and innovative AI Engineer Specialist to join our dynamic team. As an AI Specialist, you will play a key role in designing, implementing, and advancing state-of-the-art generative AI models. The successful candidate will collaborate with cross-functional teams, contributing to deliver cutting-edge AI functionalities in Digibee Integration Platform.
On a typical day, you will…
- Research, design, and develop innovative generative AI models and algorithms.
- Implement and optimize deep learning architectures for generative tasks, focused on text generation.
- Collaborate with cross-functional teams to define goals, requirements, and deliverables and implement the 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.
What you’ll need to bring
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Advanced or fluent English language proficiency.
- Strong understanding of machine learning, deep learning, and generative models.
- Proficiency in Python, TensorFlow, PyTorch, and other deep-learning related tools.
- Familiarity with the Hugging Face Transformers library of pre-trained models, including 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 ability to think creatively.
- Excellent communication and collaboration skills.
- Ability to work independently and manage multiple projects simultaneously.
Nice to have
- Proven experience on projects involving Large Language Models (LLMs) such as GPT, Bard, or LLaMA.
- Familiarity with data engineering and MLOps
- Experience working with cloud platforms dedicated to training and deploying AI/ML projects such as SageMaker or Vertex AI.
- Master degree in Data Science related fields.
- Familiarity with graphs and GNN.
Location
Brazil / Remote
Our perks and benefits
- We’re remote first, with a flexible working schedule
- Health care
- R$ 1.200,00/month on Caju card (for food and meal allowance, mobility, home office supplies, culture, health, and education)
- Life insurance
- Child care assistance
- Gympass
- English course: we have a partnership for group classes for R$100 monthly
Our culture
We believe in a highly collaborative work environment in order to foster constant development and exchange between teams. We encourage learning, sharing knowledge, and using new technologies to create disruptive ideas - we want to create something great together!
At Digibee, we know it’s our people who make the difference. We embrace and value diversity and are dedicated to encouraging a supportive and respectful culture in our community.
We are interested in every qualified candidate eligible to work remotely in the country of this job posting. However, we are not able to sponsor visas for this position.
