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TekWissen ®

Automation Engineer 4 (ML/AI Systems Design Engineer)

Markham, ON, Canada

$70 to $75 CAD / hour · Contract

Within 25 km of Ajax · About 21.6 km from the city centre

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Job details

Pay: $70 to $75 CAD / hour
Job type: Contract
Apply by: Oct 28, 2026
Posted: Sep 28, 2026

Original job description

Job Title: Automation Engineer 4 (ML/AI Systems Design Engineer)

Duration: 9 months

Location: ON,Markham-1CV

Job Type: Temporary assignment

Work Type: Onsite/hybrid

Pay Rate: CAD$70.00-$75.00/Hr

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.

Job Description

The role:

We are looking for a dynamic, energetic experienced Systems Design Engineer to join our growing team. As a key contributor to the success of Client’s product, you will be part of a leading team to drive and improve Client’s abilities to deliver the highest quality, industry leading technologies to market. The Validation Architecture team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.

The person:

As a Systems Design Engineer ML/AI, you will drive balanced, scalable AI/ML validation solutions.

In this high visibility position, your design and implementation will be necessary towards product development, definition, and root cause resolution.

Key responsibilities:

Driving technical innovation to improve Client’s ML/AI capabilities across validation, technical and procedural methodology enhancement, and various internal and cross- functional technical initiatives
Designing and implementing machine learning models and algorithms to solve complex problems
Monitoring and evaluating the performance of AI/ML models and making necessary improvements
Documenting processes, models, and algorithms for future reference
Collaborating with cross-functional teams to integrate AI/ML solutions into various applications
Preferred experience:
Proficiency in system design, development, and validation methodologies
Deep understanding of relevant regulations, standards, and best practices
Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)
Proficiency in data analysis and modeling techniques
Ability to develop and implement AI/ML models for system validation and optimization
Knowledge of AI/ML best practices and industry standards
Experience with AI/ML tools and libraries
Strong understanding of neural networks and deep learning techniques
Ability to work with large datasets and perform data preprocessing and feature engineering
Hands‑on experience designing and implementing LLM‑powered agents and Retrieval‑Augmented Generation (RAG) pipelines, including prompt‑orchestration, tool‑calling, vector‑store indexing strategies, and evaluation of end‑to‑end agentic workflows
Experience in integrating AI/ML solutions into existing systems and workflows
Strong analytical/problem-solving skills and pronounced attention to details
Must be a self-starter, and able to independently drive tasks to completion

Academic credentials:

Bachelors or Masters degree in electrical or computer engineering.

TekWissen® Group is an equal opportunity employer supporting workforce diversity

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More about this job

Responsibilities

Design and implement scalable AI/ML validation solutions, including machine learning models and algorithms, and monitor and improve their performance. Drive technical and procedural innovation, document models and processes, and collaborate with cross-functional teams to integrate AI/ML solutions into applications and workflows.

Requirements

Requires a bachelor’s or master’s degree in electrical or computer engineering, along with experience in system design, development, validation, and AI/ML methods and tools. Candidates should have strong data, neural network, and deep learning knowledge, hands-on experience with LLM agents and RAG pipelines, and the ability to work independently and solve problems carefully.

Skills

System Design
Systems Validation
Machine Learning
Artificial Intelligence
Machine Learning Model Development
TensorFlow
PyTorch
Data Analysis
Data Modeling
Neural Networks
Deep Learning
Large Language Model Agents
Retrieval-Augmented Generation
Prompt Orchestration
Tool Calling
Vector Store Indexing

Visa sponsorship

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Keywords

Systems Design
System Validation
Machine Learning
Artificial Intelligence
AI/ML Validation
TensorFlow
PyTorch
Data Analysis
Data Modeling
Neural Networks
Deep Learning
Large Language Models
LLM-Powered Agents
Retrieval-Augmented Generation
RAG Pipelines
Prompt Orchestration
Tool Calling
Vector Stores
Vector-Store Indexing
Agentic Workflows
Model Evaluation
Data Preprocessing
Feature Engineering
Root Cause Resolution
Cross-Functional Collaboration
Electrical Engineering
Computer Engineering

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