Posted 2 days ago
Senior Machine Learning Engineer JP245
@ Pathlion
Toronto, Ontario
Overview
Pathlion is hiring a Senior Machine Learning Engineer, a full-time role to deploy, integrate, monitor and operationalize AI and machine-learning solutions using MLOps practices. The work covers building and training models, designing machine learning and deep learning systems, running experiments, and creating reusable deployment patterns and monitoring so models move reliably into production.
Responsibilities:
- Build and train machine learning and deep learning models
- Deploy and monitor AI solutions using MLOps practices
- Analyze data and run machine learning experiments
- Create reusable deployment patterns, tooling and automation
Requirements summary:
- Experience with machine learning algorithms and data preparation
- Background in statistics and computer programming
- Track record of meeting deadlines and managing priorities
- Client relationship management experience
Source and dates
Source type not verified · manatal
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-05
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Pathlion
| Field | Value |
|---|---|
| Open jobs on Jobsy | 82 |
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
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