Machine Learning Specialist | Calgary

Primary Engineering and Construction Corporation; Calgary; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading company in engineering and construction is seeking a Machine Learning Specialist to drive AI initiatives and enhance operational efficiency. You'll lead AI/ML projects, collaborate across teams, and develop solutions that improve project planning and logistics. An ideal candidate possesses a strong educational background in a relevant field and extensive experience in machine learning.

Qualifications

• 2–3 years of hands-on experience developing and deploying machine learning models.
• Proficiency in Python and experience with ML frameworks.
• Excellent communication skills and ability to work with diverse datasets.

Responsibilities

• Lead the end-to-end lifecycle of AI/ML projects.
• Collaborate with cross-functional teams to identify AI use cases.
• Develop and deploy machine learning models for operational challenges.

Skills

Python

Machine Learning Frameworks

Analytical Skills

Communication Skills

Education

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Reporting to the IT Systems Administrator, the Machine Learning Specialist is responsible for taking the lead in the exploration and development of various AI-based use cases within the organization. This role is central to Primary’s digital transformation strategy, leveraging data science and AI to drive innovation, enhance operational efficiency, and uncover new insights across the enterprise.Key Responsibilities

• Lead the end-to-end lifecycle of AI/ML projects: from ideation and data acquisition to model training, evaluation, deployment, and monitoring.
• Collaborate with cross-functional teams (engineering, operations, safety, finance) to identify and prioritize high-impact AI use cases.
• Develop and deploy machine learning models to address real-world challenges in areas such as project planning, safety analytics, equipment maintenance, quality control, or logistics optimization.
• Collect, clean, and analyze large datasets from various internal systems and sources (e.g., HRIS systems, Technical Datasets, ERP systems).
• Build proof-of-concept solutions to validate ideas and support business cases for broader implementation.
• Partner with internal and external support to integrate models into production environments where appropriate.
• Stay current with advancements in AI/ML and assess their applicability within the engineering and construction context.
• Lead Company-wide AI Training and Upskilling Initiatives
• Contribute to a culture of innovation by sharing knowledge, mentoring peers, and fostering experimentation.
• Help define and shape an AI/MI roadmap that aligns with Primary’s strategic objectives.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 2–3 years of hands-on experience developing and deploying machine learning models in real-world applications — or equivalent experience through academic research, startups, or open-source contributions.
• Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Strong analytical skills and experience working with large and diverse datasets.
• Excellent communication skills and the ability to explain complex concepts to non-technical stakeholders.

Preferred:

• Experience in the construction, engineering, manufacturing, or industrial sectors.
• Familiarity with geospatial data, 3D models (e.g., BIM), IoT data, or time-series forecasting.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and ML Ops practices.
• Exposure to simulation, optimization, or computer vision applications.