Postuler

Publié il y a 13 jours

Senior AI Engineer, IT Solutions 1 1

@ Celestica International LP

Toronto, Ontario

11+ ans d’expérience
Postuler
SIGNAUX

En bref

Celestica International LP is hiring a Senior AI Engineer in Toronto, Ontario, on a hybrid basis, to bridge business stakeholders and the technical AI team. The role scopes and designs AI and Generative AI solutions, builds RAG data pipelines, and handles MLOps and monitoring. The posting states a salary range of $98,241 to $164,554 CAD, plus a comprehensive benefits package.

Responsabilités :

  • Elicit technical requirements for AI and ML projects with stakeholders
  • Design AI architectures, including Generative AI and RAG patterns
  • Build data ingestion pipelines for vector databases
  • Develop and orchestrate AI prompts and workflows
  • Implement MLOps practices and model monitoring

Résumé des exigences :

  • 11+ years in IT, software engineering or data science, with AI/ML focus
  • Advanced Python with NumPy, Pandas, PyTorch or TensorFlow
  • Knowledge of LLMs, prompt engineering and vector databases
  • Experience with Azure AI Studio, AWS Bedrock or Google Vertex AI (preferred)
  • Bachelor's or Master's degree in a related field, or equivalent experience

Outils et compétences

Source et dates

Site carrière / système de candidatures · successfactors

Date publiée par l’employeur
2026-10-28
Première détection par notre source
2026-10-29
Mise à jour du dossier source
2026-11-07

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience11 an(s) et plus
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (préféré), Maîtrise (préféré)
Domaines d’étudesComputer Science, Artificial Intelligence, Data Science, Mathematics
Avantages mentionnésPrime de rendement

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Celestica International LP

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

We partner with leading brands to solve their toughest challenges – and together accelerate market advancements.

Description complète de l’entreprise

Celestica is a global technology and innovation partner driven by curiosity and conviction. As a pioneer in technology, we enable critical data center infrastructure for the world's leading hyperscalers, powering AI, cloud, and hybrid cloud at an unprecedented scale. Our work advances high-growth markets from aerospace to healthcare to enterprise, delivering technology that drives real-world innovation. With unwavering dedication to both our customers and colleagues, we empower transformative growth with every solution we deliver. Together, we make great things happen—and move the world forward.

Abonnés LinkedIn
319 217
Personnes associées sur LinkedIn
15 528
Bureaux déclarés
  • 5140 Yonge St, 1900, Toronto, Ontario M2N 6L7, CA
  • 5325 Hellyer Ave, San Jose, CA 95138, US
  • 3333 Unity Dr, Suite A, Mississauga, Ontario L5L 4A4, CA
  • 5201 Great America Pkwy, Santa Clara, California 95054, US
  • Calle Octava, Parque Industrial Monterrey, #102, Apodaca, Nuevo Leon 66600, MX
  • Circuito Internacional Norte, Parque Industrial Nelson, #14-S, Mexicali, Baja California 21395, MX
  • 11060 N Oracle Rd, Tucson, Arizona, US
  • 29235 Milmont Dr, Fremont, California 94538, US
  • 18870 NE Riverside Pkwy, Portland, Oregon 97230, US
  • 3605 Highway 52 N, Rochester, Minnesota 55901, US
  • 5325 Hellyer Ave, San Jose, California, US
  • 8620 Congdon Hill Drive, Alburtis, PA 18011, US
  • 10 Mupac Dr, Brockton, Massachusetts 02301, US
  • 9210 Science Center Dr, New Hope, Minnesota, US
  • Parkmore Rd, Parkmore Business Park,, Galway, Galway ------, IE
  • 88 Sos. Borsului, Bors, Bihor -----, RO
  • Carretera Valencia-Ademuz km 17,6,, Valencia, La Pobla de Vallbona 46185, ES
  • Laem Chabang Industrial Estate, Tungsukla, 49/18 Moo 5,, Sriracha, Chonburi 20230, TH
  • Northern Area, Songshan Lake Science and Technology Industrial Park, Dongguan City, Guangdong 523808, CN
  • Su Hong Middle Road, Suzhou Industrial Park, No. 448, Suzhou, Jiangsu 215021, CN
  • C314 Zhongxin Building, No. 18 Zhanye Road,, Suzhou, Jiangsu 215021, CN
  • Goldlion Holding Center, 13-15 Yuen Shun Circuit, Siu Lek Yuen, 4/F, Shatin, Hong Kong -------, HK
  • A701-801 Building 1, Zhang Jiang Riverfront Harbor, 3000 Long Dong Ave, Pudong, Shanghai, Shanghai 201203, CN
  • Aza-Raijin Yoshioka Taiwa-cho Kurokawa-gun,, 2, Miyagi, Miyagi 981-3681, JP
  • Parque Industrial Monterrey, Apodaca, NL 66603, MX
Catégories d’activité
  • Electronics
  • Supply Chain Management
  • Product Design
  • Manufacturing
Autres noms enregistrés
  • Celestica International LP
  • Celestica International Inc.
  • Celestica
Spécialités
  • Hardware Platform Solutions
  • Data centers
  • AI
  • AI Infrastructure
  • Enterprise and Cloud Solutions
  • Rack Integration
  • ITAM
  • ITAD
  • Circular Services
  • Aerospace
  • Power Infrastructure
  • Engineering
  • VAVE
  • Medical Devices
  • Supply Chain
  • Capital Equipment
  • Industrial
  • and HealthTech
Le profil indique une agence de recrutement
Non
Investissement total déclaré
1 466 865 419

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Celestica is a global technology and innovation partner driven by curiosity and conviction. As a pioneer in technology, we enable critical data center infrastructure for the world's leading hyperscalers, powering AI, cloud, and hybrid cloud at an unprecedented scale. Our work advances high-growth markets from aerospace to healthcare to enterprise, delivering technology that drives real-world innovation. With…

ChampValeur
SecteurTechnology, Information and Internet
Taille10,001+ employees
Siège socialToronto, Ontario
Type d’organisationPublic Company
Fondée en1994
SpécialitésHardware Platform SolutionsData centersAI AI InfrastructureEnterprise and Cloud SolutionsRack Integration ITAMITADCircular ServicesAerospace
Offres sur Jobsy79
LinkedInVoir la page
Description

Req ID: 141816
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto

Summary

We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and the technical AI team, translating complex business challenges into scalable artificial intelligence and machine learning solutions. You will be responsible for defining technical requirements, designing AI architectures (including Generative AI and RAG patterns), and collaborating with the Data Center of Excellence to deliver high-quality, production-ready AI tools that drive innovation and operational efficiency across the organization.

Detailed Description

AI Solution Scoping & Requirements:

Elicit and document technical requirements for AI and Machine Learning projects through workshops and deep dives with stakeholders across various departments.

  • Define the technical feasibility of proposed AI use cases, identifying appropriate model architectures (LLMs, SLMs, or traditional ML) and success metrics (Accuracy, F1-score, Perplexity, etc.).

  • Analyze existing business processes to identify automation opportunities and areas where Generative AI can provide a competitive advantage.

  • Data Engineering & AI Pipeline Design:

    • Work with stakeholders to identify and prepare high-quality datasets for model training, fine-tuning, and grounding.

    • Design and implement data ingestion pipelines for vector databases, ensuring data integrity and optimal embedding strategies for Retrieval-Augmented Generation (RAG).

    • Collaborate with data engineers to ensure scalable, secure, and compliant data flows between enterprise systems and AI models.

    Model Development & Orchestration:

    • Develop, test, and refine AI prompts and orchestration workflows using frameworks like LangChain, LlamaIndex, or Semantic Kernel.

    • Evaluate and select appropriate foundation models (OpenAI, Anthropic, Llama, etc.) based on performance, cost, and latency requirements.

    • Translate business logic into technical specifications for API integrations, model endpoints, and user interfaces.

    MLOps, Deployment & Monitoring:

    • Implement MLOps best practices to ensure the continuous integration and deployment (CI/CD) of AI models.

    • Establish monitoring frameworks to track model performance, "drift," and hallucination rates in production environments.

    • Ensure AI solutions adhere to corporate data governance, security, and ethical AI principles.

    Knowledge/Skills/Competencies

    • Essential Skills:

    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 (e.g., Pinecone, Weaviate, Milvus).

  • 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 [Preferred]).

  • Desirable Skills:

    • 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 (e.g., OWASP for LLMs, MCP).

    • Industry experience in manufacturing or a related industrial sector.

    Physical Demands

    • Duties of this position are performed in a normal office environment.
    • Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.

    Salary

    The stated range includes Base Salary and target Short-Term Incentive (STI) compensation only. A comprehensive benefits package is offered in addition to this range.

    The range described in this posting is an estimate by the Company, and may change based on several factors, including but not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate.

    Salary Range: $98,241 - 164,554 CAD

    Typical Experience

    11+ years of progressive experience in technical roles, with at least 3-5 years specifically focused on AI/ML engineering or architecture.

  • Proven track record of delivering production-grade AI applications.

  • AI-related certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty) are highly preferred.

  • Typical Education

    • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field; or a robust combination of work experience and specialized AI certification.

    Notes

    This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

    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.

    COMPANY OVERVIEW:
    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.

    We use artificial intelligence tools to assist in screening and assessing applications for this role. All hiring decisions involve human review.

    This posting is for an existing vacancy.

    Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
    Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

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