Job Title: Machine Learning Engineer - Senior

Location: Toronto, Ontario, Canada

Work Model: Hybrid

Duration: 6 months

Must Haves

- Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, model deployment, monitoring and observability.
- Solid Python and machine-learning engineering skills with demonstrated experience taking models from experimentation into reliable production environments. Tech stack: Python, SQL, Power BI, Power Automate, VSCode, Git, Jira, Azure (ML Studio, AI Foundry), Databricks.
- Deep understanding of ML algorithms and statistics, including classification, regression, clustering, feature engineering, model evaluation, hyperparameter tuning, drift, retraining, performance optimization and production model troubleshooting.

Description / Responsibilities / Skills

Description

- The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices.
- The role will establish reusable deployment patterns, tooling, monitoring, and automation that enable AI solutions to move reliably from development into production and scale across the enterprise.

Experience & Skill Set Requirements

General Skills

- Experience managing available resources such as hardware, data, and personnel so that deadlines are met




- Experience analyzing the machine learning algorithms that could be used to solve a given problem and ranking them by their success probability
- Experience exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Experience verifying data quality, and/or ensuring it via data cleaning
- Experience supervising the data acquisition process if more data is needed
- Experience finding available datasets online that could be used for training
- Experience defining validation strategies
- Experience defining the preprocessing or feature engineering to be done on a given dataset
- Background in statistics and computer programming
- A team player with a track record for meeting deadlines, managing competing priorities and client relationship management experience

Responsibilities

- Creates machine learning models and utilizes data to train models
- Focuses on analyzing data to find relations between the input and the desired output
- Understands business objectives and develops models that help achieve them, along with metrics to track their progress
- Designs and develops machine learning and deep learning systems
- Runs machine learning tests and experiments
- Implements appropriate machine learning algorithms

Public Sector Experience

- Public Sector Experience: preferred but not required

📌 Machine Learning Engineer - Senior (Toronto)
🏢 CareerBeacon
📍 Toronto