Ai Engineering Specialist
Ai Engineering Specialist
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Job Description
We are banking at another level.
Choosing BDC as your employer means working in a healthy inclusive and skilled workplace that puts forward the best conditions to bring together unique teams where employees are empowered to act. It also means being at the centre of ambitious economic and financial projects to see further and to do things differently to fuel the success of Canadian entrepreneurs.
Choosing BDC as your employer also means:
Flexible and competitive benefits including an Employee Savings and Investment Plan where BDC matches part of your voluntary contributions a Defined Benefit Pension Plan a $750 wellness and health care spending account to name a few
In addition to paid vacation each year five personal days sick days as necessary and our offices are closed from December 25 to January 1
A hybrid work model that truly balances work and personal life
Opportunities for learning training and development and much more...
POSITION OVERVIEW
The AI Engineering Specialist is responsible for designing developing and deploying Generative AI and machine learning solutions that support BDCs enterprise-wide digital transformation. This role bridges the gap between data science prototypes and scalable production systems ensuring robust ethical and high-performing AI applications.
CHALLENGES TO BE MET
Design build and deploy scalable AI/ML models including LLMs GenAI and Agentic solutions.
Collaborate with data scientists data engineers and business stakeholders to translate business needs into AI solutions.
Develop and maintain MLOps pipelines using tools like MLflow and Azure DevOps
Implement Retrieval-Augmented Generation (RAG) and vector-based search for LLMs
Monitor and optimize model performance in production environments.
Ensure compliance with AI governance ethical standards and risk frameworks
Data Preparation and Feature Engineering. Design and implement feature extraction pipelines. Ensure data quality and preprocessing for model training.
Documentation and Knowledge Sharing. Maintain clear documentation of models pipelines and decisions. Contribute to internal wikis playbooks or AI governance frameworks.
Tooling and Automation. Build internal tools or APIs to make AI capabilities reusable across teams. Automate retraining monitoring and alerting systems.
Stay Current with AI Trends. Evaluate new research papers tools and frameworks. Propose innovative solutions based on emerging technologies.
WHAT WE ARE LOOKING FOR
Technical Proficiency:Python Spark SQL Git Azure and Databricks
AI/ML Expertise:Experience with LLMs (e.g. GPT Llama) GenAI NLP computer vision and predictive analytics
MLOps:Familiarity with CI/CD containerization (Docker) and lifecycle management tools.
Soft Skills:Strong communication curiosity accountability and ability to drive change
Experience:Minimum 3 years in AI/ML/Data engineering roles with proven deployment of models into production
Bilingual: French and English
Education
Bachelors Masters or PhD in Computer Science Engineering Data Science or a related field
#INDHP
Proudly one of Canadas Top 100 Employers and one of Canadas Best Diversity Employers we are committed to fostering a diverse equitable inclusive and accessible environment where all employees can thrive and feel empowered to bring their whole selves to work. If you require an accommodation to complete your application please do not hesitate to contact us at .
While we appreciate all applications we advise that only the candidates selected to participate in the recruitment process will be contacted.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
