Remote AI Engineer

Summary

Join our dynamic team as a highly skilled and innovative Generative AI Engineer, designing, implementing, and advancing state-of-the-art generative AI models. As a key contributor to the Digibee Integration Platform, you will collaborate with cross-functional teams to deliver cutting-edge AI functionalities.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

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