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About the Role
We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will translate complex business challenges into scalable artificial intelligence and machine learning solutions, define technical requirements, design AI architectures, and collaborate to deliver high-quality, production-ready AI tools.
Responsibilities
- Elicit and document technical requirements for AI and Machine Learning projects.
- Define the technical feasibility of proposed AI use cases and identify appropriate model architectures and success metrics.
- Analyze existing business processes to identify automation opportunities and areas where Generative AI can provide a competitive advantage.
- Design and implement data ingestion pipelines for vector databases.
- Collaborate with data engineers to ensure scalable, secure, and compliant data flows.
- Develop, test, and refine AI prompts and orchestration workflows.
- Evaluate and select appropriate foundation models based on performance, cost, and latency requirements.
- Translate business logic into technical specifications for API integrations, model endpoints, and user interfaces.
- Implement MLOps best practices for continuous integration and deployment (CI/CD) of AI models.
- Establish monitoring frameworks to track model performance, drift, and hallucination rates.
- Ensure AI solutions adhere to corporate data governance, security, and ethical AI principles.
Requirements
- 11+ years of experience in Information Technology, Software Engineering, or Data Science, with a significant focus on AI/ML development.
- Strong understanding of Generative AI landscapes, including LLMs, prompt engineering, and vector databases.
- Proven ability to architect end-to-end AI solutions from discovery to production deployment.
- Excellent communication skills, with the ability to explain complex technical AI concepts to non-technical business leaders.
- Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow).
- Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI).
- Knowledge of SQL and advanced data modeling for structured and unstructured data.
- Familiarity with MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes).
- Experience working in an Agile/Scrum development environment.
- Knowledge of AI security frameworks and responsible AI practices.
- Industry experience in manufacturing or a related industrial sector.
Skills
- Generative AI
- LLMs
- Prompt Engineering
- Vector Databases
- Python
- NumPy
- Pandas
- PyTorch
- TensorFlow
- Azure AI Studio
- AWS Bedrock
- Google Vertex AI
- SQL
- Data Modeling
- MLOps
- MLflow
- Kubeflow
- Docker
- Kubernetes
- Agile/Scrum
- AI Security
- Responsible AI
Location
- Hybrid
- Canada
- Ontario
- Toronto
Work Type
- Hybrid
Experience Level
- 11+ years of progressive experience in technical roles
- at least 3-5 years specifically focused on AI/ML engineering or architecture
Education Level
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field
- robust combination of work experience and specialized AI certification
Salary/Compensations
- $98,241 - 164,554 CAD
Benefits
- Comprehensive benefits package
About the Company
- Celestica (NYSE, TSX: CLS) enables the world’s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
Equal Opportunity
- Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.