Machine Learning Engineer

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At ALS, we encourage you to dream big.

When you join us, you’ll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.

ALS GeoAnalytics combines geoscience expertise with advanced machine learning to accelerate mineral exploration and unlock resource value. Our GeoAnalytics platform integrates deep learning, data processing, and predictive modeling to generate high-quality geological insights for clients worldwide.

We’re looking for a Machine Learning Engineer to help design, build, and maintain our machine learning infrastructure — from model training and experimentation to deployment and inference. You’ll work on a mix of batch and real-time ML services, including deep learning models for computer vision and geospatial analysis.

What You’ll Do

• Develop, deploy, and maintain machine learning microservices and pipelines for model training, serving, and inference
• Build and operate ML workflows using AWS Lambda, EC2, ECS, and Fargate for scalable compute orchestration
• Design and maintain serving infrastructure for real-time and batch inference workloads
• Build and maintain ML experimentation workflows using MLflow, Jupyter Notebooks, and Conda
• Train and optimize deep learning models using PyTorch or TensorFlow for supervised, unsupervised, and computer vision tasks
• Optimize training and inference performance using CUDA and NVIDIA GPU environments
• Collaborate with data scientists and geologists to integrate trained models into production APIs

What You Bring

Nice to Have

Why Join Us

At ALS GeoAnalytics, you’ll join a cross-disciplinary team at the intersection of geology and AI. You’ll have the opportunity to design and deploy ML systems that directly impact real-world exploration outcomes. We value curiosity, experimentation, and engineering excellence — giving you room to innovate while contributing to a platform that’s transforming the mining and exploration industry.

Our Benefits Includes

Please note : Benefits vary based on employee status.

Working at ALS

The ALS team is a diverse and dedicated community united by our passion to make a difference in the world.

Our values are important to us, and shape how we work, how we treat each other and how we recognise excellence.

At ALS, you’ll be supported to develop new skills and reach your full potential. We invest in our people with programs and opportunities that help you build a diverse career with us.

We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and our communities.

Everyone Matters

ALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued.

Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law. We invite resumes from all interested parties, including women, First Nations, Metis and Inuit persons, members of minority groups, and persons living with disabilities.

ALS also welcomes applications from people with all levels of ability. Accommodation is available on request for candidates taking part in all aspects of the selection process.

Eligibility

To be eligible to work at ALS you must be a Citizen or Permanent Resident of the country you are applying for, or either hold or be able to obtain, a valid working visa.

How To Apply

Please apply online and provide a resume & cover letter that best demonstrate your motivation and ability to meet the requirements of this role.

Seniority level

Mid‑Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

International Trade and Development

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