Iris’s client, one of the Top 5 Bank in Canada is looking to hire a Sr. ML Ops Engineer / Lead for a long term contract opportunity. Our Client is a Canada multinational financial services company and the largest bank in Canada by market capitalization.
The bank serves over 17 million clients and has more than 89,000 employees worldwide. Bank is serving individual consumers, small and middle market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk-management products and services.
Position: Sr. ML Ops Engineer / Lead
Location: Toronto, ON
Duration: 12+ Months
Required Skill
We are seeking a highly driven Project Lead with deep expertise in AWS cloud platforms and modern infrastructure practices. This role combines technical leadership, client-facing ownership, and team enablement across multiple initiatives. The ideal candidate thrives in rapid-paced environments, proactively unblocks teams, and serves as a trusted technical advisor for cloud-native and AI/ML-enabled solutions.
Key Responsibilities
Lead and oversee multiple AWS-based delivery initiatives in parallel
Act as the primary technical point of contact for client stakeholders
Architect and guide cloud solutions leveraging AWS best practices
Mentor and enable offshore teams, ensuring progress during distributed working hours
Proactively identify risks, dependencies, and bottlenecks; unblock teams effectively
Drive infrastructure automation and platform maturity
Collaborate with AI/ML engineers to support ML infrastructure, pipelines, and deployments
Ensure security, reliability, scalability, and cost-awareness across cloud workloads
Required Skills & Experience
5+ years of hands-on experience delivering AWS projects, with overall 10+ years of experience
Deep understanding of core AWS services (IAM, VPC, ECS/EKS, Lambda, S3, RDS, Sagemaker etc.)
Strong expertise in container technologies (Docker) and container orchestration (Kubernetes/EKS)
Proven experience with Infrastructure as Code (AWS CDK preferred; Terraform acceptable)
Hands-on experience with GitHub Actions and CI/CD workflow automation
Understanding of the AI/ML ecosystem, including model deployment and ML infrastructure patterns
Experience owning client communication, technical discussions, and delivery updates
Ability to support and unblock teams during offshore working hours
Self-driven, proactive, and accountable with a strong ownership mindset
Nice to Have
Experience with MLOps platforms and ML pipelines
Exposure to cloud cost optimization and FinOps practices
Prior people-management or delivery-lead experience Thanks and Regards, Raghav Ranjan
Iris Software / SSA Infosystems Inc
Royal Bank Plaza – North Tower
200 Bay Str. Toronto, ON, M5J 2J2
Email:
[email protected] www.irissoftware.com
📌 Sr. ML Ops Engineer / Lead (Toronto)
🏢 Iris Software
📍 Toronto