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Associate AI DevOps Engineer

BMO Financial

Toronto

On-site

CAD 85,000 - 115,000

Full time

Yesterday
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Job summary

A prominent North American financial services provider is looking for an experienced DevOps Engineer to develop and maintain pipelines for AI and data applications. You will collaborate with data scientists, enhance infrastructure scalability, and implement best security practices. Key qualifications include a degree in a relevant field and significant experience with cloud platforms and Kubernetes. We provide an innovative work environment and a comprehensive benefits package, emphasizing inclusivity and development opportunities.

Benefits

Health insurance
Tuition reimbursement
Retirement savings plans

Qualifications

  • Significant experience with AWS, Azure, or GCP.
  • Practical experience with Kubernetes and AI/ML infrastructures.
  • Familiarity with MLOps tools is a plus.

Responsibilities

  • Develop DevOps pipelines for AI and data applications.
  • Collaborate to create MLOps pipelines.
  • Improve monitoring systems and resolve infrastructure issues.

Skills

Cloud platforms
Kubernetes
AI/ML infrastructure
Programming languages
Infrastructure as Code
DevOps tools
Security protocols
Communication skills

Education

University degree in Computer Science, Engineering, Mathematics

Tools

Terraform
GitHub
TensorFlow
PyTorch
MLflow
Kubeflow
Job description

Requirements

Must have
  • University degree in Computer Science, Engineering, Mathematics, or a related technical field.
  • Significant experience with cloud platforms such as AWS, Azure, or GCP.
  • Practical experience with Kubernetes and AI/ML infrastructure including model deployment.
  • Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as MLOps tools such as MLflow and Kubeflow.
  • Proficiency in programming languages including Python, Go, and Bash.
  • Experience using Infrastructure as Code tools like Terraform, Helm, and Kustomize.
  • Understanding of cloud security frameworks and tools like CSPM, DSPM, and ASPM.
  • Knowledge of containerized environments and OCI image creation.
  • Familiar with DevOps tools such as GitHub, GitLab CI, Jenkins, Prometheus, Grafana, Elasticsearch, and Kibana.
  • Strong grasp of security protocols including Kerberos, TLS, and OAuth2.
  • Excellent communication skills for effectively collaborating with both technical and business stakeholders.
  • Nice to Have: Certifications like CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), or AWS/Azure/GCP cloud certifications.
  • Nice to Have: Experience with Generative AI and advanced AI technologies, including the development and deployment of intelligent agents and generative models.
Responsibilities
  • Develop and sustain comprehensive DevOps pipelines for AI and data applications, ensuring both reliability and scalability.
  • Enhance the build infrastructure for our internal data and analytics applications.
  • Implement Infrastructure as Code (IaC) for platform components and create automation tools for effective platform management.
  • Collaborate with Data Scientists and Model Governance teams to create and maintain MLOps pipelines.
  • Establish robust security protocols for AI/ML pipelines, ensuring adherence to enterprise security standards.
  • Improve monitoring systems across various applications and promptly resolve infrastructure issues.
  • Integrate enterprise technologies for application release and system integration.
  • Stay updated with the latest trends in DevOps, AI/ML, and cloud technologies to continually enhance our processes.

Company

We are part of BMO Capital Markets, a prominent North American financial services provider, supported by a team of over 2,700 professionals across 30 global locations. Our Data Cognition Team is focused on creating a sustainable and customizable range of AI-enabled products that address complex business challenges across Investment Banking and Global Markets. We offer a collaborative and innovative work environment, with opportunities for professional development while using state-of-the-art tools and technologies. We are committed to inclusivity and provide a comprehensive benefits package that includes health insurance, tuition reimbursement, and retirement savings plans.

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