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Senior Specialist AI Machine Learning

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Greater Sudbury, Ontario

Temps plein
Postuler
SIGNAUX

Responsabilités :

  • Design, develop, deploy, and optimize machine learning models for industrial use cases including predictive maintenance, equipment failure prediction,…
  • Develop scalable AI solutions using technologies such as PyTorch, TensorFlow, ONNX, and related machine learning frameworks.
  • Ensure machine learning solutions are production-ready and aligned with operational and business objectives.
  • Build and maintain robust MLOps pipelines utilizing Azure Machine Learning, MLflow, Docker, Kubernetes, and cloud-native technologies.
  • Automate model deployment, monitoring, retraining, and lifecycle management processes.
  • Optimize AI models using GPU acceleration technologies such as CUDA and TensorRT to improve performance and scalability.

Résumé des exigences :

  • Mentor and support team members, fostering a culture of innovation, knowledge-sharing, and continuous improvement.
  • Bachelor's Degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related discipline.
  • Master's Degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field is considered an asset.
  • 11-15 years of relevant experience in artificial intelligence, machine learning, advanced analytics, software engineering, or related disciplines.
  • Demonstrated experience developing and deploying enterprise-scale machine learning solutions.
  • Strong experience with MLOps, cloud-native AI platforms, and machine learning lifecycle management.
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-09
Première détection par notre source
2026-11-10
Mise à jour du dossier source
2026-11-10

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

Postuler
ChampValeur
Offres sur Jobsy251
Description

Your New Role

The Opportunity

We are currently seeking a Sr. Specialist, AI/Machine Learning Developer to join the AI & Automation Centre of Excellence within Information Technology, based in Sudbury, Ontario, Canada.

This is a permanent position.As the Sr. Specialist, AI/Machine Learning Developer, you will play a pivotal role in advancing Vale Base Metals' artificial intelligence and advanced analytics capabilities across our global operations. Reporting to the Sr. Manager, CoE - AI and Automation, you will design, deploy, and optimize machine learning solutions that support predictive maintenance, operational reliability, process automation, and real-time decision-making across mining and industrial environments.

Working closely with data scientists, developers, platform specialists, operational teams, and technology leaders, you will transform complex business challenges into scalable AI-driven solutions that deliver measurable value. This is an exciting opportunity to shape the future of emerging technologies including Generative AI, Agentic AI, MLOps, edge computing, and advanced analytics within a global mining organization.

Key Accountabilities

  • Design, develop, deploy, and optimize machine learning models for industrial use cases including predictive maintenance, equipment failure prediction, geohazard detection, and ore grade optimization.
  • Develop scalable AI solutions using technologies such as PyTorch, TensorFlow, ONNX, and related machine learning frameworks.
  • Ensure machine learning solutions are production-ready and aligned with operational and business objectives.
  • Build and maintain robust MLOps pipelines utilizing Azure Machine Learning, MLflow, Docker, Kubernetes, and cloud-native technologies.
  • Automate model deployment, monitoring, retraining, and lifecycle management processes.
  • Optimize AI models using GPU acceleration technologies such as CUDA and TensorRT to improve performance and scalability.
  • Develop edge AI solutions that enable real-time inference and decision-making in remote mining and industrial environments.
  • Research, prototype, and implement emerging technologies including Generative AI, Agentic AI, large language models (LLMs), and federated learning.
  • Evaluate new technologies and identify opportunities to enhance productivity, automation, and operational performance.
  • Ensure AI solutions adhere to enterprise governance, cybersecurity, privacy, compliance, and ethical AI standards.
  • Collaborate with Operations, Engineering, IT, and Data & Analytics teams to integrate AI solutions into enterprise workflows.
  • Translate business challenges into practical AI opportunities with measurable outcomes and return on investment.
  • Provide thought leadership and technical guidance on future AI initiatives and technology strategy.
  • Mentor and support team members, fostering a culture of innovation, knowledge-sharing, and continuous improvement.

Education

  • Bachelor's Degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related discipline.
  • Master's Degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field is considered an asset.

Experience

  • 11-15 years of relevant experience in artificial intelligence, machine learning, advanced analytics, software engineering, or related disciplines.
  • Demonstrated experience developing and deploying enterprise-scale machine learning solutions.
  • Strong experience with MLOps, cloud-native AI platforms, and machine learning lifecycle management.
  • Experience working with industrial operations, operational technology (OT), IoT, manufacturing, or mining environments is highly desirable.
  • Proven ability to deliver AI solutions that generate measurable business value and operational improvements.

Skills

  • Deep expertise in machine learning, Generative AI, Agentic AI, and advanced analytics.
  • Strong proficiency with PyTorch, TensorFlow, Azure Machine Learning, MLflow, Docker, Kubernetes, and related technologies.
  • Experience optimizing machine learning models using GPU acceleration technologies such as CUDA and TensorRT.
  • Strong understanding of cloud infrastructure, enterprise data architecture, Infrastructure as Code (IaC), and DevOps practices.
  • Familiarity with Microsoft Copilot, SAP Joule, and AI-enabled enterprise solutions.
  • Strong knowledge of responsible AI practices, cybersecurity controls, data governance, privacy regulations, and compliance frameworks.
  • Excellent communication and stakeholder management skills with the ability to influence technical and business decisions.
  • Demonstrated success leading cross-functional initiatives and delivering complex technology solutions.
  • Strong analytical thinking, problem-solving, and organizational skills.
  • Self-starter with the ability to prioritize competing priorities and operate effectively in fast-paced environments.

What You'll Get in Return

  • Competitive compensation including an annual performance-based incentive program.
  • Participation in a competitive Defined Contribution Pension Plan.
  • Comprehensive benefits package including health and dental coverage, flex spending accounts, disability coverage, and optional insurance programs.
  • Paid leave for vacation, personal wellness, illness, and parental responsibilities.
  • Inclusive work culture focused on safety, diversity, innovation, and career growth.
  • Employee Family Assistance Program (EFAP).
  • Virtual healthcare services.
  • Access to online learning, leadership development, and career advancement opportunities.
  • Opportunity to work on cutting-edge technologies that are transforming the future of mining and industrial operations globally.

Why Sudbury

Greater Sudbury is a vibrant city in northeastern Ontario, recognized globally for its mining expertise, innovation, and critical mineral production. Located within the world-renowned Sudbury Basin, the region is rich in nickel, copper, and other essential minerals that support emerging technologies, electrification, artificial intelligence, and global infrastructure development.

The mining industry remains a cornerstone of Sudbury's economy, and Vale Base Metals plays a leading role in developing the resources required for a sustainable future. Joining our team offers a unique opportunity to contribute to transformative technology initiatives while enjoying an exceptional quality of life in one of Canada's premier mining and innovation hubs.

Interested? Let's Talk!

Email [email protected] or call 801-349-1315 to learn more.

Know someone who would be a great fit? Share this opportunity within your network.

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