Automation Engineer 4 (ML/AI Systems Design Engineer)
- Markham, ON, Canada
$70 to $75 CAD / hour · Contract
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Job details
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- $70 to $75 CAD / hour
- Job type
- Contract
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- Posting language
- English
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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
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
Not detected in the job text
Categories
- Engineering
- Technology
- Software
- Data & Analytics
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