Machine Learning Engineer

Skillhub Solutions Inc.; Lethbridge; Hybrid; CAD 125,000 - 140,000; Full time

Benefits offered by this job

Annual bonus

Leave top-up

Vacation

Personal days

Benefits

Pension plan

Job summary

Skillhub Solutions Inc. in Canada is seeking a Machine Learning Engineer to leverage structured and unstructured data, statistics, visualization, and advanced ML techniques to solve business problems and reveal insights.

The hybrid role allows two days in-office per week across various Canadian cities, including Lethbridge, with potential postings in Winnipeg, Vancouver, Calgary, Edmonton, and more; competitive CAD 125k–140k salary and annual bonus eligibility.

Qualifications

• Master’s or PhD in machine learning, computer science, statistics, operations research, mathematics, or a related quantitative field.
• More than five years of relevant research experience with a publication record.
• Knowledge of statistical and machine learning models, particularly interpretability and fairness analysis.
• Strong Python and SQL programming skills, experience with current cloud ML technologies, reproducible code, and version control.
• Knowledge of the Agile development cycle.

Responsibilities

• Use data, statistics, visualization, and machine learning to solve business problems and identify insights.
• Communicate analysis findings and technical concepts to technical and business stakeholders.
• Collaborate with analytics, development, operations, and other cross-functional teams.

Skills

Python programming

SQL programming

Agile development

Education

Master’s/PhD in ML or related quantitative field

Tools

Cloud ML platforms

Git

Job description

Lethbridge, AB Full-time, Part-time CA$125,000 - CA$140,000 / year

About the role

The Machine Learning Engineer uses structured and unstructured data, statistics, visualization, and advanced machine learning techniques to solve business problems and discover insights. The role communicates analytical findings to technical and business audiences.

Work environment

Hybrid, with in-office work two days per week or 15 hours per week. The role may be based in Winnipeg, Wawanesa, Vancouver, Calgary, Edmonton, Lethbridge, North York, Kitchener, Ottawa, Montreal, Quebec City, Moncton, or Dartmouth.

Compensation

Estimated salary range: $125,000–$140,000 per year. Eligible permanent full-time and part-time employees may receive an annual bonus, leave of absence top-up programs, vacation time, personal days, benefits, and a pension plan.

Responsibilities

• Use data, statistics, visualization, and machine learning to solve business problems and identify insights.
• Communicate analysis findings and technical concepts to technical and business stakeholders.
• Collaborate with analytics, development, operations, and other cross-functional teams.

Qualifications

• Master’s or PhD in machine learning, computer science, statistics, operations research, mathematics, or a related quantitative field.
• More than five years of relevant research experience with a publication record.
• Knowledge of statistical and machine learning models, particularly interpretability and fairness analysis.
• Strong Python and SQL programming skills, experience with current cloud ML technologies, reproducible code, and version control.
• Knowledge of the Agile development cycle.