AI Engineer
AI Engineer
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1 Vacancy
Job Description
Role- AI Engineer
Location- Mississauga ON- Hybrid
Full Time
Responsibilities:
- 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.
- Expert-level Python programming skills are mandatory. This includes deep familiarity with core Python as well as extensive proficiency in key libraries for AI/ML and GenAI applications:
- Data Structures: Lists dictionaries sets etc.
- Scientific Computing: NumPy Pandas SciPy.
- Machine Learning: Scikit-learn XGBoost LightGBM.
- Deep Learning: TensorFlow PyTorch.
- Generative AI specific Libraries: Transformers LangChain
Employment Type
Full-time
