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.
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Build and maintain backend services and APIs using Ruby and GraphQL to improve source code workflows. Ensure reliability, performance, testing, observability, and on-call support. Collaborate cross-functionally and use AI agents responsibly to accelerate delivery.
Top Skills:
Ai Coding AgentsBackground ProcessingCachingGitGitalyGraphQLMonorepoObservabilityRubySQL
Cloud • Security • Software • Cybersecurity • Automation
Build and maintain backend services and APIs for source code workflows using Ruby and GraphQL. Improve performance, reliability, caching, and observability. Collaborate cross-functionally, write tests, participate in Tier 2 on-call, and use AI coding agents where appropriate.
Top Skills:
GitGitalyGraphQLRubySQL
51 Minutes Ago
Easy Apply
Easy Apply
Big Data • Fintech • Mobile • Payments • Financial Services
Lead and develop a team of Technical Account Managers supporting SMB merchants post-sale. Drive technical integrations, troubleshoot escalations, set OKRs, forecast hiring, and advocate cross-functionally to increase merchant adoption and product optimization.
Top Skills:
Rest ApisWeb Development
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
