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.
About the Position:
As a Junior Machine Learning Engineer on the Global AI Team, you will support the design, development, deployment, and maintenance of AI and machine learning solutions. You will work with data scientists, engineers, product teams, and business stakeholders to help transform ideas into scalable AI-enabled products and workflows. This role is well suited for someone who is technically curious, eager to learn, and motivated to apply modern AI techniques, including LLMs, Agentic AI, deep learning, and traditional machine learning models, to real-world business and scientific problems.
Specific Responsibilities:
Support the development and deployment of machine learning and AI models across ALS business functions.
Assist in building AI solutions using Large Language Models (LLMs).
Contribute to the design and implementation of Agentic AI systems, including tool-using agents, orchestration workflows, and task automation.
Develop, train, test, and evaluate conventional machine learning and deep learning models.
Work with structured and unstructured data to support model development, feature engineering, and data preparation.
Collaborate with senior AI engineers and data scientists to improve model performance, reliability, scalability, and maintainability.
Support cloud-based AI and ML development using platforms such as Azure, Google Cloud Platform (GCP), and AWS, with a preference for Azure and GCP.
Assist in building model pipelines, experimentation workflows, and deployment processes.
Participate in code reviews, technical documentation, testing, and quality assurance activities.
Stay current with emerging trends in machine learning, generative AI, LLMs, deep learning, and cloud AI services.
Follow ALS standards for security, privacy, data governance, and responsible AI practices.
Required Knowledge, Skills & Abilities:
Hands-on experience with Google Cloud Platform (GCP).
Experience using cloud AI and machine learning services, model hosting, or MLOps tools.
Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or semantic search.
Experience with APIs, microservices, or integrating machine learning models into applications.
Knowledge of software engineering practices such as version control, testing, CI/CD, and documentation.
Exposure to containerization tools such as Docker.
Experience working with enterprise data environments or cross-functional technical teams.
Required Qualifications:
Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline.
Practical experience with machine learning, including model training, evaluation, and deployment concepts.
Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar tools.
Exposure to Large Language Models (LLMs).
Familiarity with Agentic AI concepts, including autonomous agents, tool calling, workflow orchestration, and AI assistants.
Programming experience in Python.
Familiarity with common machine learning and data science libraries such as scikit-learn, pandas, NumPy, or similar.
Experience working with at least one major cloud platform, including Azure, Google Cloud Platform (GCP), or AWS.
Ability to work effectively in a collaborative, hybrid team environment.
Strong analytical thinking, problem-solving skills, and a willingness to learn.
Physical Demands:
Ability to sit at a desk and perform general office work for extended periods, with periodic computer/screen use.
Our benefits includes:
An estimated annual salary of $80,000 - $95,000 CAD at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training.
Structured wage increases.
Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs).
Additional vacation days for years of service.
Business support for education or training after 9 months with the company.
Learning & development opportunities (unlimited access to e-learnings and more).
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. Reasonable adjustments to support candidates throughout the recruitment process are available upon request.
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 on-line and provide a resume & cover letter that best demonstrate your motivation and ability to meet the requirements of this role.
ALS Limited Burnaby, British Columbia, CAN Office
Burnaby, Canada
ALS Limited North Vancouver, British Columbia, CAN Office
North Vancouver, Canada
ALS Limited Vancouver, British Columbia, CAN Office
Vancouver, Canada
