MLOps Architect

Iris Software's client one of the leading Banking Company is looking to hire for the following roles Job Title: AWS MLOPS Architect Mode of Work - Hybrid ( 1- 2 days onsite) Location - Toronto ON Job Description 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 About Iris Software Inc. With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.

Lead and oversee multiple AWS-based delivery initiatives while acting as the primary technical point of contact for client stakeholders. Drive infrastructure automation and collaborate with AI/ML engineers to support ML pipelines and deployments.

Requires over 10 years of total experience with at least 5 years of hands-on AWS project delivery. Expertise in container orchestration, Infrastructure as Code, and the AI/ML ecosystem is essential.

• KubernetesSouhaitée
• CI/CDSouhaitée
• DockerSouhaitée
• Amazon Web ServicesSouhaitée
• TerraformSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• AWS
• MLOps
• Kubernetes
• Docker
• AWS CDK
• Terraform
• GitHub Actions
• CI/CD
• Amazon SageMaker
• Infrastructure as Code
• Cloud Architecture
• ML Infrastructure
• IAM
• VPC
• ECS
• EKS

• Technology
• Software
• Data & Analytics
• Engineering
• Finance & Accounting

Expérience minimale

10+ ans

Postuler avant le

4 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

2 jours par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte