Specialist AI, Innovation

Agnico Eagle Mines Limited; Rouyn-Noranda; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A leading mining company in Canada is seeking a candidate with a Master's or PhD in mining, metallurgical, or geoscience engineering. This role involves developing AI solutions to optimize the mining value chain while collaborating with various teams. Candidates should have 1 to 5 years of experience with machine-learning models and be fluent in both French and English. A hybrid work schedule is possible, along with opportunities for travel within Canada and internationally.

Qualifications

• 1 to 5 years of experience in developing, training and optimising machine-learning models.
• Experience applying AI to mining and metallurgical data.
• Strong coordination skills to deliver multi-partner research projects on time.

Responsibilities

• Develop and apply AI solutions.
• Optimise artificial intelligence and machine-learning models.
• Plan project timelines and write progress reports.

Skills

Data analysis

Machine learning

Project management

Programming

Fluency in French

Fluency in English

Education

Master's or PhD degree in mining, metallurgical or geoscience engineering

Specialisation in data science and artificial intelligence

Job description

ABOUT OUR OPERATION

Canadian-based and led, Agnico Eagle is Canada's largest mining company and the second largest gold producer in the world. It produces precious metals from operations in Canada, Australia, Finland and Mexico and has a pipeline of high‑quality exploration and development projects. Agnico Eagle is a partner of choice within the mining industry, recognised globally for its leading sustainability practices. Agnico Eagle was founded in 1957 and has consistently created value for its shareholders, declaring a cash dividend every year since 1983.

The Support and Development Center provides services to Agnico Eagle's various Canadian and international mining operations in a variety of areas, including administration, financial services, IT, supply chain, human resources, communications, construction as well as technical services (geology, engineering, metallurgy, infrastructure, marketing, innovation and digital transformation).

YOUR NEXT CHALLENGE

Reporting to the R&D Metallurgy Advisor, you will primarily be involved in processing data from the development of various projects, including images, physical measurements and performance indicators. You will support project managers and specialists in analysing this data by extracting additional information, illustrating trends and modelling for performance prediction. You will contribute to the development and implementation of processes and measures to improve and optimise the mining value chain, working closely with the digital transformation team. You will also support various Agnico Eagle divisions and develop your expertise within an experienced innovation team and multidisciplinary project teams (geology, mining, infrastructure, environment, digital transformation).

• Develop and apply AI
• Optimise and implement artificial intelligence and machine‑learning models
• Design infrastructure and manage data
• Identify hardware and software requirements for data processing
• Implement data pipelines in collaboration with the digital transformation team
• Plan and track projects
• Develop project plans, write progress reports and summaries
• Collaborate with application and technical service specialists to identify opportunities
• Support research and funding
• Participate in drafting funding applications for AI projects
• Conduct technology monitoring and literature reviews
• Represent and contribute to corporate strategy
• Represent the organisation at conferences and working groups
• Develop value‑creating AI solutions

WHAT YOU NEED TO SUCCEED

• Master's or PhD degree in mining, metallurgical or geoscience engineering
• Specialisation in data science and artificial intelligence
• 1 to 5 years of experience in developing, training and optimising machine‑learning models
• Experience applying AI to mining and metallurgical data
• Proven experience in writing grant and funding proposals
• Strong coordination skills to deliver multi‑partner research projects on time
• Advanced programming, AI libraries and data analysis skills
• Skills in data storage, organisation and AI modelling
• Understanding of business challenges to align AI solutions with organisational objectives
• Fluency in French and English

SCHEDULE

40 hours per week, Monday to Friday. A 5‑2‑4‑3 schedule is possible.

WORK LOCATION

You can work in one of AEM's offices closer to your home, located in Rouyn‑Noranda, Preissac, Val‑d’Or, Mirabel or Toronto. A hybrid work schedule is also possible, allowing you to work some days from an AEM office and some days remotely.

TRAVEL

Available to travel to Canada, Finland, Australia and Mexico.