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Engineering Assistant Jobs in Lockport, MB (NOW HIRING)

Junior Machine Learning Engineer

Winnipeg, MB ยท On-site

CA$80K - CA$95K/yr

Knowledge of software engineering practices such as version control, testing, CI/CD, and ... AI assistants. * Programming experience in Python. * Familiarity with common machine learning and ...

Developer

Winnipeg, MB ยท On-site

... engineering environment. Role Context Developers operate within different delivery contexts ... Support release activities, including deployment validation and post-release verification * Assist ...

Developer

Winnipeg, MB ยท On-site

... engineering environment. Role Context Developers operate within different delivery contexts ... Support release activities, including deployment validation and post-release verification * Assist ...

Join us as a Power Engineer 3rd class in Winnipeg and help bring materials to life in a workplace ... Monitor and record system readings, maintain logbooks, and report any abnormalities. * Assist in ...

Provide leadership and technical guidance to junior staff and assist in their skill development and growth. * Organize and lead municipal engineering designs (use of Civil 3D and other land ...

We are seeking expressions of interest from candidates seeking to be Teaching Assistants for ... Business; Engineering; Environment, Earth, & Resources; Recreation Management & Community ...

Showing results 21-40

Engineering Assistant information

What is an engineering assistant?

An engineering assistant provides support to the engineering team on a variety of projects. As an engineering assistant, your job duties include spec reading, research, conducting tests, modifying techniques, and resolving issues. Additional responsibilities as an engineering assistant are to help project engineers design, develop, evaluate, and troubleshoot to accomplish project goals. You work as part of a team in a lab or workshop environment, so a commitment to safety and compliance with regulations is important. Communication skills are also a must for this career.

What are some common challenges engineering assistants face when supporting multiple projects simultaneously?

Engineering Assistants often juggle tasks across several projects, which can present challenges in prioritization and time management. Balancing administrative duties, technical support, and communication with different teams requires strong organizational skills and adaptability. Proactively coordinating with project managers and regularly updating task lists can help manage workloads more effectively and ensure deadlines are met. Developing familiarity with project management software and open communication channels are also key to thriving in this dynamic environment.

What are the key skills and qualifications needed to thrive as an engineering assistant, and why are they important?

To thrive as an Engineering Assistant, you need a solid background in engineering principles, technical drawing, and data analysis, usually supported by an associate degree or equivalent technical training. Familiarity with CAD software, Microsoft Office Suite, and project management systems is commonly required. Strong organizational skills, attention to detail, and effective communication help you excel in supporting engineering teams and handling multiple tasks. These skills ensure accurate project documentation, efficient workflows, and seamless collaboration within engineering projects.

What is the difference between Engineering Assistant vs Engineering Technician?

AspectEngineering AssistantEngineering Technician
Required CredentialsAssociate degree or relevant certificationAssociate degree or technical diploma
Work EnvironmentOffice, field, or lab settingsLaboratory, field, or manufacturing environments
Employer & Industry UsageCommon in engineering firms, construction, and manufacturingOften in manufacturing, research, and technical services
Common Search & ComparisonYesYes

Engineering Assistants typically support engineering projects through administrative tasks, data collection, and basic technical work, often working in office or field settings. Engineering Technicians focus more on hands-on technical tasks, testing, and maintaining equipment. Both roles require similar educational backgrounds but differ in daily responsibilities and work environments.

How much is the salary of an engineering assistant?

The salary of an engineering assistant typically ranges from $40,000 to $60,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced assistants or those with specialized skills can earn higher wages. Certifications in engineering or technical tools can also influence salary levels.

What does an engineering assistant do?

An engineering assistant supports engineers by performing tasks such as collecting data, preparing reports, maintaining technical documents, and assisting with project coordination. They often use tools like CAD software and may need basic knowledge of engineering principles and safety protocols. Their role helps ensure projects run smoothly and efficiently.

What cities near Lockport, MB are hiring for Engineering Assistant jobs?

Cities near Lockport, MB with the most Engineering Assistant job openings:

Infographic showing various Engineering Assistant job openings in Lockport, MB as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Junior Machine Learning Engineer

ALS

Winnipeg, MB โ€ข On-site

CA$80K - CA$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

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.