Senior Director driving enterprise AI strategy, governance, and adoption at Powerfleet, a global AIoT SaaS company. Leading cross - functional initiatives toward measurable business impact.
About the role
- ML/LLM and GenAI specialist industrializing secure AI capabilities for Desjardins Group. Building governed, monitored and production-ready LLMOps solutions in a cloud environment.
Responsibilities
- Develop, launch and maintain AI, GenAI and LLM solutions in accordance with Desjardins Group’s architectural standards and frameworks
- Implement LLMOps practices for automation, ongoing deployment, continuous integration and production model oversight
- Participate in the full model life cycle, including evaluation, deployment, performance monitoring, versioning and continuous improvement
- Develop and integrate processing chains for language models, retrieval-augmented generation (RAG) mechanisms and inference services
- Optimize the performance, resilience and operational efficiency of AI solutions released on the data platform
- Collaborate with security, platform, data and architecture teams to meet security, compliance and governance requirements
- Implement monitoring, observability and alert mechanisms to track the quality, usage and stability of AI solutions
- Evaluate cloud models, tools and services to identify solutions meeting the Security Office’s needs
- Contribute to continuous improvement of software development, automation and operational practices associated with the organization’s AI capabilities
- Work closely with the AI Architect and data platform teams on GenAI industrialization and LLMOps practices
- Fulfill the directions set by the AI Architect as a key member of the LLMOps squad
Requirements
- Bachelor’s degree in computer science, software development or a related field
- A minimum of six years of relevant experience
- Please note that other combinations of qualifications and relevant experience may be considered
- Knowledge of French is required
- Expertise in software development, Machine Learning or artificial intelligence
- Advanced knowledge of Machine Learning concepts
- Advanced knowledge of Large Language Models (LLM) and GenAI solutions
- Advanced knowledge of Python and the main modern AI ecosystems
- Mastery of LangChain, Semantic Kernel, Hugging Face, OpenAI, Azure OpenAI and other similar tech
- Advanced proficiency with Databricks, MLflow, Azure Machine Learning or other AI industrialization platforms
- Familiarity with the creation and implementation of RAG solutions, AI agents, chatbots and other similar services
- Knowledge of model evaluation techniques, prompt engineering, context management and response quality improvement
- Knowledge of fine-tuning, embeddings, vector search, and knowledge base concepts
- Familiarity with the application of MLOps and LLMOps practices in production environments
- Ability to translate complex business needs into robust and actionable AI solutions
Benefits
- Competitive salary and annual bonus
- 4 weeks of flexible vacation starting in the first year
- Defined benefit pension plan that provides predictable, stable income throughout retirement
- Group insurance including telemedicine
- Reimbursement of health and wellness expenses and telework equipment
- Accommodations at any stage in the recruitment process, upon request
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