Senior Machine Learning Engineer JP245

P@thlion Staffing Careers; Toronto; On-site; CAD 90,000 - 150,000; Full time

Job summary

P@thlion Staffing Careers in Toronto is seeking a Senior Machine Learning Engineer to deploy, monitor, and operationalize AI solutions using modern MLOps practices. You will create ML models from data and design reusable deployment patterns to move from development to production.

You will analyze data, align models with business goals, run experiments, and implement algorithms. The role requires a track record in statistics and programming, teamwork, and the ability to manage competing

Qualifications

• Solid foundation in statistics and data analysis.
• Experience building production-ready ML/AI solutions.
• Proficiency in programming languages used for ML (e.g., Python, R).

Responsibilities

• Creates machine learning models and utilizes data to train models.
• Analyzes data to find relations between input and output.
• Understands business objectives and develops models with measurable metrics.
• Designs and develops machine learning and deep learning systems.
• Runs machine learning tests and experiments.
• Implements and evaluates machine learning algorithms.

Skills

Model development

MLOps practices

Data analysis

Experimentation

Data visualization

Statistics

Programming

Deadline management

Team player

Client relations

Education

Statistics background

Programming background

Job 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. 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 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