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About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We have been recognized with:

- 17x Google Cloud Partner of the Year awards in the last 8 years
- 3x AWS AI/ML award wins
- 3x NVIDIA Partner of the Year titles
- 2x Snowflake Partner of the Year awards
- Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms
- We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators
- We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023

For more details, visit: Website or Linked In Page

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

Job Description:

The Partner Consultant for AI Infrastructure & MLOps is a specialized technical expert focused on designing and building the scalable, automated, and resilient platforms required for large-scale machine learning.



This role supports customers moving beyond experimentation to productionalize AI/ML, focusing on the underlying infrastructure for distributed training and low-latency inference. This consultant provides the bridge between Data Science teams and Cloud Platform teams, leveraging Google Kubernetes Engine (GKE), Vertex AI, and specialized hardware (GPUs and TPUs) to create robust MLOps "factories." This role requires a "platform engineering" mindset where all infrastructure is provisioned as code.

Key Responsibilities

- Platform Architecture: Design the foundational infrastructure for AI workloads, including secure and scalable Google Kubernetes Engine (GKE) clusters, network configurations, and IAM policies.
- Infrastructure Automation (IaC): Lead the automation of all AI infrastructure provisioning using Terraform to ensure repeatable, scalable, and secure environments.
- MLOps Pipeline Design: Architect end-to-end MLOps automation using Vertex AI Pipelines (or Kubeflow Pipelines) to cover the full lifecycle: data ingestion, validation, model training, registration, and automated deployment.
- Training & Inference Optimization: Design solutions for large-scale distributed training and scalable, low-latency serving (e.g., Vertex AI Endpoints, GKE autoscaling).
- Production Monitoring & Governance: Implement robust monitoring for model performance, data drift, and system health. Ensure all solutions adhere to security and governance standards.
- Hardware Advisory: Advise customers on the optimal hardware selection (cost vs. performance), including the provisioning and utilization of Google Cloud GPUs (A2, G2) and TPUs (v4, v5e).
- Technical Advisory & Collaboration: Act as the subject matter expert for customers and internal teams, providing guidance and hands-on support to streamline the entire ML lifecycle.





Required Credentials & Skills (Mandatory)

Google Cloud Certifications:

Google Cloud Certified - Professional Cloud Architect

Google Cloud Certified - Professional Machine Learning Engineer

Hashi Corp Certification:

Hashi Corp Certified: Terraform Associate

Cloud & AI Skills:

- Deep expertise with Google Kubernetes Engine (GKE), including cluster design, node pools, and security (Workload Identity).
- Hands-on, production-level experience with Terraform for automating GCP infrastructure.
- Demonstrable expertise across the Vertex AI Platform (Training, Pipelines, Endpoints).
- Strong Python programming and scripting skills.
- Concepts: Strong understanding of the complete MLOps lifecycle, CI/CD principles, and container-based workflows (Docker).
- Consulting Skills: 3-5+ years in a customer-facing technical role (Dev Ops, MLOps, or Cloud Engineering).

Preferred Credentials & Skills (Nice-to-Have)

Google Cloud Certification:

Google Cloud Certified - Professional Cloud Dev Ops Engineer

Industry Certifications (CNCF):

Certified Kubernetes Administrator (CKA)

Hashi Corp Certification:

Hashi Corp Certified: Terraform Authoring and Operations Skilled

Technical Skills:

- Direct hands-on experience provisioning and managing Cloud TPUs.
- Deep expertise with Google Kubernetes Engine (GKE), including cluster design, node pools, and security (Workload Identity).
- Data Engineering integration experience (Big Query, Dataflow, Pub/Sub).
- Familiarity with monitoring tools like Prometheus and Grafana.

What’s in it for YOU at Quantiphi?

- Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Apply on Kit Job: kitjob.ca/job/2fssss

📌 MLOps Architect (Canada)
🏢 Quantiphi
📍 Canada