Senior Specialist AI Machine Learning

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 rupal.pandey@hays.com or call 801-349-1315 to learn more.

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