Machine Learning Specialist

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

Job summary

We are seeking a talented Machine Learning Specialist to lead AI-based initiatives that drive innovation and efficiency at a leading engineering and construction firm. This role involves managing the full lifecycle of machine learning projects, collaborating with diverse teams, and enhancing operational practices through data-driven insights. Ideal candidates will have a robust background in machine learning, strong analytical abilities, and effective communication skills to convey complex ideas across the organization.

Qualifications

• 2-3 years of hands-on experience developing and deploying machine learning models.
• Experience with large and diverse datasets.
• Strong analytical skills and ability to explain complex concepts.

Responsibilities

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

Skills

Python

Data analysis

Machine Learning

Communication

Education

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

Tools

scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

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.