The Cybersecurity Monitoring Ecosystem Department is currently looking for a Databricks LLMOps Advisor to join its team dedicated to the industrialization and governance of language models (LLM) in a modern cloud environment. You’ll work in an environment where secure, compliant and high-performing AI solutions are critical to supporting our organization’s strategic activities. You’ll help set up and maintain MLOps / LLMOps pipelines using Databricks technologies and best practices to ensure models are robust, traceable and scalable. More specifically, you will be required to :
- Design, develop and maintain LLMOps pipelines to roll out, monitor and update language models.
- Integrate models into Databricks environments while ensuring they comply with security and governance standards.
- Automate processes for fine-tuning, evaluating and monitoring LLMs (quality, bias and drift).
- Develop scripts and workflows to manage training data and prompts in the data lake.
- Implement versioning, traceability and compliance mechanisms for models and their artifacts.
- Work with data engineering and cybersecurity teams to ensure our AI solutions are resilient and protect confidential information.
What we offer
Competitive salary and annual bonus4 weeks of flexible vacation starting in the first yearDefined benefit pension plan that provides predictable, stable income throughout retirementGroup insurance including telemedicineReimbursement of health and wellness expenses and telework equipmentBenefits apply based on eligibility criteria.#LI-Hybrid
What you bring to the table
Bachelor's degree in computer science, software engineering, AI or related fieldA minimum of four years of relevant experience in machine learningPlease note that other combinations of qualifications and relevant experience may be consideredIntermediate or advanced experience with rolling out AI models in cloud computing environments (Azure)Intermediate or advanced experience with AI / LLM frameworks (Hugging Face, LangChain, OpenAI API)Intermediate or advanced experience with MLOps / LLMOps tools (MLflow, Azure Machine Learning, CI / CD)Intermediate or advanced experience in one or more of the following languages : PySpark, Python, Java or C#Intermediate or advanced experience with Databricks (Delta Lake, MLflow, Feature Store).Azure Databricks certification or demonstrated equivalentKnowledge of French is requiredAction oriented, Business insight, Complexity, Customer Focus, Differences, Nimble learning
Trade Union (If applicable)
At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.
If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!
Job Family
Data (FG)
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