6 дней назад
Sr Analyst, DevOps (AI)
105 000 - 120 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Analyst, DevOps (AI) (AWS/Azure, LLMs, RAG): Building and delivering secure, scalable AI services, APIs, data pipelines, and cloud infrastructure from prototypes to production with an accent on enterprise integration, reliability, and observability. Focus on implementing production AI/ML workloads, designing RAG and agent solutions, automating CI/CD and MLOps, and validating model performance, cost, and scalability.
Location: Place, 181 Bay Street, Toronto, Ontario, Canada
Salary: C$105K–120K
Company
’s Technology Services organization delivers enterprise infrastructure, applications, and end-user technology services across its business groups.
What you will do
- Build and scale AI capabilities on AWS and Azure, including secure infrastructure, deployment, configuration, and observability.
- Translate prototypes and proof-of-concepts into production-ready services, APIs, data flows, and enterprise integrations.
- Implement LLM, agent orchestration, prompt engineering, and RAG solutions using vector databases and cloud AI services.
- Build and validate ETL/ELT data pipelines for AI training, inference, and production workflows.
- Develop reusable APIs, integration layers, CI/CD workflows, monitoring dashboards, alerts, and operational runbooks.
- Collaborate with cybersecurity, cloud, data, application, and project teams to test and operationalize AI solutions.
Requirements
- 3–5+ years of experience in software engineering, data engineering, or ML engineering.
- Production experience deploying AI/ML solutions beyond prototypes and notebooks.
- Experience with AWS and/or Azure AI/ML services, IAM, networking, and cloud security.
- Proficiency in Python, REST/GraphQL APIs, microservices, and integration patterns.
- Experience with LLMs, prompt engineering, RAG, vector databases, and agent orchestration frameworks.
- Experience with Docker, Kubernetes/ECS/EKS, CI/CD, and MLOps practices including model deployment, versioning, and monitoring.
Nice to have
- AWS Certified Machine Learning Engineer – Associate certification.
- AWS Certified Generative AI Developer – Professional certification.
- Azure AI Cloud Developer Associate certification.
- Azure AI App and Agent Developer Associate certification.
Culture & Benefits
- Work in a collaborative, disciplined, and entrepreneurial environment.
- Receive challenging assignments and exposure to diverse businesses.
- Join a positive, safe, respectful, and accessible work environment.
- Full-time employment with an equal-opportunity employer.
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