AI Implementation Engineer - Copperleaf (Canada)
AI Implementation Engineer - Copperleaf (Canada)
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Job Description
Role Overview
As an AI Implementation Engineer youll lead the deployment and operationalization of advanced AI/ML models in production environments. You will work closely with data scientists software engineers and client teams to ensure scalable secure and reliable model integration. Your contributions will enable real-world decision-making powered by machine learning and advanced analytics.
Key Responsibilities
- Own the technical implementation of AI models across internal and client-facing systems
- Design and maintain robust reusable deployment pipelines and MLOps workflows
- Integrate AI solutions with enterprise platforms and APIs
- Monitor validate and tune models post-deployment to ensure quality and performance
- Identify and resolve production issues through root-cause analysis and debugging
- Collaborate with cross-functional teams to understand use cases and translate into system requirements
- Mentor junior engineers and promote knowledge-sharing within the team
- Contribute to continuous improvement of deployment standards tooling and practices
Qualifications :
Qualifications & Experience
Must-Have
- Bachelors or Masters degree in Computer Science Engineering or a related field
- 35 years of experience in AI/ML engineering MLOps or software development
- Strong proficiency in Python Git and CI/CD automation
- Experience with cloud platforms (AWS Azure or GCP) and containerization (Docker Kubernetes)
- Solid understanding of model lifecycle management and monitoring best practices
- Excellent technical documentation and communication skills
Nice-to-Have
- Experience with ML frameworks (TensorFlow PyTorch) and tools like MLflow or SageMaker
- Familiarity with security compliance and data governance in AI systems
- Knowledge of time series NLP or optimization models
- Previous work with edge deployments or streaming pipelines
Core Skills & Competencies:
Technical / Hard Skills
- MLOps tooling DevOps cloud-native architectures
- Data engineering and transformation pipelines
- API and system integration
Behavioral / Soft Skills
- Analytical thinker with a systems mindset
- Proactive problem solver and technical leader
- Effective communicator with a collaborative approach
- Comfortable balancing delivery speed with engineering quality
Travel Requirements
- Occasional travel (<10%) depending on project needs
Additional Information :
What Were Offering
- Salary Range: $90000 CAD to $155000 CAD annually bonus
- Flexible paid time off including sick and holiday
- Medical dental & vision insurance
- RRSP with Company contribution
- Life insurance and disability benefits
- Tuition assistance
- Community involvement and volunteering events
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
