AI ML Architect

VDart Inc; Mississauga; Remote; CAD 60,000 - 80,000; Full time

Job summary

A technology solutions provider is seeking an AI ML Architect to work remotely in Mississauga. The candidate will leverage their expertise in MLOPS, Python, and data science to define AI strategies aligned with business objectives. This full-time contractor role offers the chance to work directly with senior leadership and cross-functional teams to drive impactful AI projects.

Qualifications

• Hands-on experience across leading LLM platforms.
• Able to assess platform capabilities and tradeoffs.
• Strong grasp of model architectures and orchestration.

Responsibilities

• Translate technical complexity into business recommendations.
• Partner cross-functionally to align AI deployment.
• Pressure-test business use cases for impact.

Skills

MLOPS

GenAI

Python

Data Science

Machine Learning

Deep Learning

Tools

APIs

Pegasystems

Spring

SOAP

.NET

Hybris

Solution Architecture

Service-Oriented Architecture

Adobe Experience Manager

J2EE

Java

Oracle

Job description

Overview

Role : AI ML Architect

Location : Mississauga ON (Remote)

Duration : Contract

Employment Type : Full-time

Experience : years

Vacancy : 1

Mandatory Skills

Mandatory Skills : MLOPS GenAI - LLMOps Python - Data Science Machine Learning - AIOPS Deep Learning - AIOPS

Responsibilities

• Hands-on experience across leading LLM platforms (Cohere OpenAI Anthropic Gemini AgentSpace Claude).
• Able to assess platform capabilities maturity and tradeoffs.
• Strong grasp of model architectures : transformers RAG agent orchestration tool calling and when to apply each.
• Practical experience with fine-tuning embeddings and prompt optimization against enterprise data sets.
• Able to apply evaluation frameworks that measure real-world performance : hallucination rates reasoning depth cost latency and accuracy.
• Deep understanding of agent frameworks (multi-step reasoning memory orchestration autonomy) and their operational limitations.
• Ability to translate technical complexity into clear business-focused recommendations for senior leadership.
• Comfortable partnering cross-functionally across product engineering legal commercial and operations to align AI deployment to business objectives.
• Skilled at pressure-testing business use cases across tasks like summarization retrieval classification reasoning and identifying where AI will (and wont) drive impact.

Key Skills

• APIs
• Pegasystems
• Spring
• SOAP
• .NET
• Hybris
• Solution Architecture
• Service-Oriented Architecture
• Adobe Experience Manager
• J2EE
• Java
• Oracle