AI Security & DevOps Engineer securing AI systems from prototype to production for Casper Studios, an AI services firm. Owning security standards, platform controls, and enterprise client approvals.
About the role
- AI/ML DevOps Developer industrializing secure GenAI and LLM platforms for Desjardins’ cybersecurity operations. Building CI/CD, IaC, DevSecOps, observability, MLOps and LLMOps foundations.
Responsibilities
- Design, implement and maintain continuous integration and deployment (CI/CD) pipelines supporting development and production release of AI and GenAI solutions
- Automate the release of infrastructure, application services, data components and inference services using Infrastructure as Code (IaC) principles
- Implement DevSecOps best practices, including security, compliance and quality controls throughout the development cycle
- Manage, evolve and ensure the reliability of production, testing and development environments supporting AI capabilities
- Develop and maintain observability, logging, monitoring and alerting mechanisms for service availability and performance
- Collaborate with platform, security, data and development teams to standardize release and operational practices
- Optimize delivery processes to reduce production lead times and improve release quality
- Help implement technological foundations for MLOps and LLMOps adoption
- Participate in continuous improvement of squad tools, processes and standards
- Ensure teams have access to materials, shared knowledge and support for automation and operational best practices
- Work closely with the AI Architect and LLMOps squad to ensure platform reliability, security and automation
- Act as a technological facilitator for the LLMOps squad
Requirements
- Bachelor's degree in computer science, software development or a related field
- A minimum of four years of relevant experience in DevOps, Cloud Engineering, Platform Engineering or Site Reliability Engineering (SRE)
- Other combinations of qualifications and relevant experience may be considered
- Knowledge of French is required
- Expert knowledge of Azure, Databricks and data platform services
- Expert knowledge of Docker, Kubernetes and distributed architectures
- Proficiency in CI/CD, GitOps, and Infrastructure as Code practices
- Knowledge of life cycle automation for data, ML, MLOps, or LLMOps solutions
- Knowledge of automation for the release of production models, APIs, apps and inference services
- Knowledge of MLOps and LLMOps tools such as MLflow, Azure Machine Learning, LangChain, OpenAI, and Azure AI
- Knowledge of Python, YAML, Git and automation tools
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
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