Design, develop, fine-tune, and optimize generative deep learning models (GANs, VAEs, transformers). Collaborate with cross-functional teams to integrate and deploy AI solutions, troubleshoot model issues, document models, and communicate technical concepts to non-technical stakeholders.
Key Responsibilities:
- Model Development: Design and develop algorithms for generative models using deep learning techniques.
- Collaboration: Work with cross-functional teams to integrate generative AI solutions into existing systems.
- Research: Stay updated on the latest advancements in generative AI technologies and methodologies.
- Optimization: Fine-tune models for performance and efficiency.
- Troubleshooting: Address and resolve issues related to generative AI models and implementations.
- Documentation: Create and maintain comprehensive documentation for AI models and their applications.
- Communication: Explain complex technical concepts to non-technical stakeholders.
Required Skills and Qualifications:
- 6+ years of strong background in machine learning and deep learning algorithms.
- Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch.
- Familiarity with natural language processing (NLP) techniques and transformer models (e.g., GPT, BERT)
- Hands on experience with prompt structures and fine-tune model outputs to align with business needs and user expectations.
- Experience with generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
- Skills in data preprocessing and feature engineering for AI model training.
- Strong understanding of neural network architectures and optimization techniques.
- Experience in deploying AI models into production environments.
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The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
