Sr. ML Ops Engineer / Lead

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 fast-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