Databricks LLMOps Lead — Secure, Scalable AI Pipelines

Desjardins Group; Lévis; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A financial services organization based in Lévis, Canada, is seeking a Databricks LLMOps Advisor. This role focuses on designing and maintaining LLMOps pipelines for language models in a cloud environment. Ideal candidates will have a Bachelor's degree in a related field, a minimum of four years of experience in machine learning, and proficiency with Databricks and Azure. The position offers flexible vacation and a competitive salary.

Benefits

Competitive salary and annual bonus

4 weeks of flexible vacation

Defined benefit pension plan

Group insurance including telemedicine

Reimbursement of health and wellness expenses

Qualifications

• A minimum of four years of relevant experience in machine learning is required.
• Azure Databricks certification or equivalent experience is preferred.

Responsibilities

• Design, develop and maintain LLMOps pipelines for language models.
• Integrate models into Databricks while ensuring compliance with security standards.
• Automate processes for fine-tuning and monitoring LLMs.

Skills

Intermediate or advanced experience with 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 programming languages: PySpark, Python, Java or C#

Intermediate or advanced experience with Databricks (Delta Lake, MLflow, Feature Store)

Knowledge of French

Education

Bachelor's degree in computer science, software engineering, AI or related field

Job description

A financial services organization based in Lévis, Canada, is seeking a Databricks LLMOps Advisor. This role focuses on designing and maintaining LLMOps pipelines for language models in a cloud environment. Ideal candidates will have a Bachelor's degree in a related field, a minimum of four years of experience in machine learning, and proficiency with Databricks and Azure. The position offers flexible vacation and a competitive salary.