This ML Developer role sits inside a leading energy and utilities organization and is focused on building, optimizing, and deploying machine learning models and data pipelines that solve real business problems. The work spans the full ML lifecycle, from participating in early experiments and prototypes through to production deployment, monitoring, and drift detection, all within an AWS setting and with a strong emphasis on software development best practices.

CA$115,000.00–CA$130,000.00 yearly

Full-time

The ideal candidate brings at least three years of hands-on AI/ML project delivery paired with solid software engineering fundamentals, including test-driven development and CI/CD. You are comfortable working across Python and at least one other language, you think statistically, and you can move confidently from a research prototype to a maintainable, production-grade solution. You collaborate well with data scientists, architects, and product teams and you do not need close supervision to get quality work across the line.

Key Responsibilities

Participate in team planning sessions and contribute to effort estimation for ML and software development work

Build, optimize, and maintain ML models and data pipelines from prototype through to production

Apply software development best practices, including test-driven development and CI/CD, to all model and pipeline work

Design and implement operational aspects of model deployment, covering automation, monitoring, and drift detection

Collaborate with architects, data scientists,



and product and business teams to develop and refine ML solutions

Review requirements, participate in experiments, and prototype solutions that address business needs

Perform code reviews and provide constructive, actionable feedback to peers

Test and debug application code to ensure reliability and performance

Required Skills & Experience

BSc. or MSc. in Computer Science, Engineering, Math, Physics, Statistics, or equivalent

Minimum 4 years of overall work experience

Minimum 3 years delivering AI/ML projects end to end

Minimum 2 years as a software developer on a delivery team

Proficiency in at least two languages, such as Python, Java, or C#, with solid Python data package experience

Hands-on experience building solutions in AWS

Good knowledge of relational and non-relational databases and query engines, including SQL

Proficiency in statistical concepts and applying statistical thinking to business problems

Working knowledge of DevOps practices and automation

Strong knowledge of ML algorithms and techniques, including agentic solutions, with the ability to build and optimize models independently

Strong testing and debugging skills

Valid Canadian work authorization (right to work in Canada required)

Preferred Skills

Familiarity with web frontend development

Working knowledge of the broader AWS ecosystem or genuine interest in going deep on AWS services

Experience with platforms such as Databricks

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