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- Lead the end-to-end technical development, deployment, monitoring, and maintenance of real-world, production-level Generative AI solutions within a financial context.
- Apply advanced NLP techniques to financial data, refining prompt engineering strategies for Large Language Models (LLMs) to achieve optimal performance and desired outcomes.
- Collaborate extensively with business stakeholders to translate complex business needs into robust and scalable GenAI technical requirements and solutions.
- Develop, test, and maintain high-quality Python code for GenAI applications, integrating with various data sources, APIs, and vector databases.
- Design and implement scalable API architectures for GenAI applications, ensuring seamless integration and efficient data flow.
- Proactively troubleshoot and debug GenAI models in production environments, quickly identifying and resolving issues to maintain system stability and performance.
- Monitor and optimize MLOps pipelines for GenAI models, ensuring efficient training, deployment, and continuous integration/continuous delivery (CI/CD).
- Stay rigorously up to date with the rapidly evolving Generative AI landscape, continuously researching and evaluating new tools, techniques, LLM architectures, and emerging technologies.
- Participate actively in team meetings, contributing to strategic discussions, technical design reviews, and knowledge sharing sessions.
- Communicate complex technical concepts and GenAI capabilities clearly and effectively to non-technical stakeholders, translating technical jargon into understandable business terms.
- Ensure adherence to best practices in MLOps, model governance, data privacy, and responsible AI principles throughout the development lifecycle.
Key Skills
Ranked by relevance
ai
mlops
python
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- Posted
- Aug 28, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Mississauga
- Company
- Reveille Technologies,Inc
Industries
IT Services
IT Consulting
Categories
Information Technology
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3 roles aligned with this opportunity
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