Senior Ai Engineer, It Solutions 1 1
$98.24k - $164.55k per yearSkillhub Solutions Inc.
Toronto, ON Full-time CA$98,241 - CA$164,554 / year
Celestica is hiring a Senior AI Engineer for its Data & Analytics team in Toronto, Ontario. This hybrid role translates business challenges into scalable AI and machine-learning solutions, from requirements and architecture through production deployment.
Responsibilities
Gather and document AI/ML requirements with stakeholders, assess feasibility, and define model approaches and success metrics.
Identify and prepare data, design ingestion pipelines for vector databases, and collaborate on secure, compliant data flows.
Develop prompts and orchestration workflows;
evaluate foundation models and define specifications for integrations and user interfaces.
Apply MLOps practices for CI/CD, monitor model performance and drift, and uphold data governance, security, and responsible AI principles.
Qualifications
11+ years of experience in IT, software engineering, or data science, including significant AI/ML work and 3–5 years focused on AI/ML engineering or architecture.
Advanced Python skills and experience with AI/ML libraries, generative AI, LLMs, prompt engineering, and vector databases.
Experience architecting AI solutions for production;
familiarity with cloud AI services and MLOps tools is desirable.
Bachelor’s or master’s degree in a related field, or equivalent work experience and specialized certification.
CompensationEstimated annual range: CAD $98,241–$164,554, including base salary and target short-term incentive. Benefits are offered in addition.
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Celestica is hiring a Senior AI Engineer for its Data & Analytics team in Toronto, Ontario. This hybrid role translates business challenges into scalable AI and machine-learning solutions, from requirements and architecture through production deployment.
Responsibilities
Gather and document AI/ML requirements with stakeholders, assess feasibility, and define model approaches and success metrics.
Identify and prepare data, design ingestion pipelines for vector databases, and collaborate on secure, compliant data flows.
Develop prompts and orchestration workflows;
evaluate foundation models and define specifications for integrations and user interfaces.
Apply MLOps practices for CI/CD, monitor model performance and drift, and uphold data governance, security, and responsible AI principles.
Qualifications
11+ years of experience in IT, software engineering, or data science, including significant AI/ML work and 3–5 years focused on AI/ML engineering or architecture.
Advanced Python skills and experience with AI/ML libraries, generative AI, LLMs, prompt engineering, and vector databases.
Experience architecting AI solutions for production;
familiarity with cloud AI services and MLOps tools is desirable.
Bachelor’s or master’s degree in a related field, or equivalent work experience and specialized certification.
CompensationEstimated annual range: CAD $98,241–$164,554, including base salary and target short-term incentive. Benefits are offered in addition.
#J-18808-Ljbffr
Vacancy posted 2 hours ago
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