Postuler

Publié il y a 15 jours

AI Cloud Data Engineer

@ Altera Corporation

Toronto, Ontario

Temps plein1+ ans d’expérience
Postuler
SIGNAUX

En bref

Altera Corporation is hiring an AI Cloud Data Engineer to design and deploy AI-powered applications, data platforms and machine learning solutions. The role covers data pipelines, LLM and RAG systems, MLOps and analytics dashboards, in a full-time position in Toronto. The posting states an estimated salary of $110K to $120K CAD plus performance-based incentives.

Responsabilités :

  • Design and optimize AI applications, data pipelines and cloud data platforms
  • Build and deploy machine learning and Generative AI solutions
  • Create and maintain RAG systems, vector databases and AI agents
  • Build AI/ML training, inference and deployment pipelines
  • Develop dashboards and reports that communicate insights

Résumé des exigences :

  • Bachelor's or Master's degree in computer science, AI or a related field
  • Strong Python programming and production software experience
  • 1+ years with machine learning, deep learning, Generative AI and LLMs
  • Experience with AI frameworks such as PyTorch, TensorFlow or LangChain
  • Experience with Azure, AWS or Google Cloud, MLOps, CI/CD and Kubernetes

Outils et compétences

Source et dates

Site carrière / système de candidatures · workday

Date publiée par l’employeur
2026-10-22
Première détection par notre source
2026-10-23
Mise à jour du dossier source
2026-11-06

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

Détails du poste

NiveauIntermédiaire
DomaineDonnées et analytique
Expérience1 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (préféré)
Domaines d’étudesComputer Science, Artificial Intelligence, Cybersecurity, Software Engineering
Avantages mentionnésPrime de rendement

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

Altera Corporation

ChampValeur
Offres sur Jobsy1
Description

Job Details:

Job Description:

Altera is seeking a talented and driven AI Data Engineer to design, develop, and deploy AI-powered applications, data platforms, and machine learning solutions that transform data into actionable intelligence. In this role, you will build scalable data and AI systems, develop advanced analytics and machine learning models, and create intelligent applications that enable data-driven decision-making across the organization. You will work closely with engineers, product teams, and business stakeholders to deliver innovative AI solutions from concept to production.


Job Responsibilities

  • Design, develop, and optimize AI-powered applications, data pipelines, and scalable cloud-based data platforms.
  • Build and deploy machine learning, deep learning, and Generative AI solutions to solve complex business and engineering challenges.
  • Develop algorithms, predictive models, and analytical frameworks that transform structured and unstructured data into actionable insights.
  • Create and maintain RAG systems, vector databases, AI agents, and intelligent search solutions to enhance knowledge discovery and automation.
  • Conduct large-scale experimentation, model evaluation, and performance benchmarking to improve AI solution effectiveness and reliability.
  • Explore, acquire, process, and integrate data from diverse sources while ensuring data quality, integrity, and governance.
  • Analyze datasets to identify trends, patterns, anomalies, and opportunities, implementing corrective actions where necessary.
  • Develop dashboards, visualizations, reports, and data-driven applications that effectively communicate insights to technical and business audiences.
  • Collaborate with software engineers, data scientists, and product teams to ensure AI models and analytics solutions are scalable, maintainable, and production-ready.
  • Build and maintain AI/ML training, inference, and deployment pipelines using modern MLOps and cloud-native practices.
  • Establish and promote best practices for data engineering, machine learning, experimentation, coding standards, and model governance.
  • Support troubleshooting, monitoring, and optimization of AI and analytics platforms using commercial and custom-built tools.
  • Evaluate emerging AI, machine learning, and data technologies to drive innovation and improve platform capabilities.
  • Contribute to research, prototyping, and development efforts related to AI, machine learning, and advanced analytics initiatives

Our compensation is designed to reflect the Canadian labour market. The actual salary offered may vary based on several factors, including the position’s location, as well as the candidate’s experience, skills, training, and job-specific knowledge. In addition to base salary, we offer performance-based incentive opportunities that reward both individual contributions and overall company success.​


Estimated Salary Range: $110K – $120K CAD​

​

We use artificial intelligence to screen, assess, or select applicants for the position.​ This posting is for an existing vacancy.​ Canadian work experience is not required for this role. Applicants must be eligible for any required Canada export authorizations.

Qualifications:

  • The candidate must have a Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Cybersecurity, Software Engineering, or a related field.
  • Strong programming skills in Python and experience developing production software applications.
  • 1+ years' experience with machine learning, deep learning, Generative AI, and large language models (LLMs).
  • Familiarity with AI frameworks such as PyTorch, TensorFlow, LangChain, Semantic Kernel, or similar technologies.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.
  • Knowledge of data engineering concepts, ETL/ELT pipelines, data warehousing, and distributed data processing.
  • Experience with MLOps, model deployment, CI/CD, containers, and Kubernetes.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work cross-functionally and translate business requirements into technic

Job Type:

Regular

Shift:

Shift 1 (Canada)

Primary Location:

Toronto, Ontario, Canada

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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