AI Engineer
- Toronto, ON, Canada
- Greater Toronto Area, Canada, Canada
$70 to $85 CAD / hour · Contract
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Job details
- Pay
- $70 to $85 CAD / hour
- Job type
- Contract
- Apply by
- Experience
- 7+ years of working experience as an AI Engineer, ML Engineer, or Backend Developer.
- Posting language
- English
- Posted
Original job description
Summary
We are looking for AI Engineer to to design and scale intelligent backend systems, machine learning pipelines, and data architectures. In this role, you will build production-grade AI services on AWS using Python or Node.js, integrating machine learning models with robust data engineering and analytics pipelines. This is a long-term consulting job and the client is one of the major banks.
Working Model: Hybrid – 2 days onsite in Toronto
Key Responsibilities
- Architect and build production-ready AI backend services and APIs using Python and Node.js.
- Build scalable data engineering pipelines to extract, clean, and deliver data for ML models.
- Deploy, scale, and manage machine learning models and AI workflows on AWS cloud infrastructure.
- Collaborate with data science and analytics teams to turn machine learning concepts into production systems.
- Optimize system performance, query speeds, model latency, and data processing workflows.
Requirements & Qualifications
- 7+ years of working experience as an AI Engineer, ML Engineer, or Backend Developer.
- Strong backend engineering proficiency in Python or Node.js.
- Hands-on experience with AWS.
- Solid foundation in data engineering, ETL pipelines, and data analytics.
- Practical understanding of modern AI/ML frameworks, RESTful APIs, and cloud architecture.
More about this job
Responsibilities
Design and build production-ready AI backend services, APIs, and scalable data pipelines using Python or Node.js. Deploy and manage machine learning models and workflows on AWS, collaborating with data science and analytics teams while optimizing system performance and data processing.
Requirements
Requires 7+ years of experience as an AI Engineer, ML Engineer, or Backend Developer, with strong Python or Node.js skills and hands-on AWS experience. Candidates should have a solid foundation in data engineering, ETL pipelines, and analytics, plus practical knowledge of AI/ML frameworks, RESTful APIs, and cloud architecture.
Skills
- Python
- Node.js
- AWS
- Artificial Intelligence
- Machine Learning
- Backend Engineering
- Data Engineering
- ETL Pipelines
- Data Analytics
- RESTful APIs
- Cloud Architecture
- Machine Learning Frameworks
- Model Deployment
- Data Processing
- Performance Optimization
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Consulting
Keywords
- Artificial Intelligence
- Machine Learning
- Python
- Node.js
- AWS
- Backend Services
- APIs
- Data Engineering
- ETL Pipelines
- Data Analytics
- Machine Learning Models
- AI Workflows
- Cloud Infrastructure
- RESTful APIs
- Cloud Architecture
- Data Science
- Model Deployment
- Data Processing
- System Performance
- Query Optimization
- Model Latency
- Production Systems
- Banking
- Consulting