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Added 4 mins ago
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K&K Global Talent Solutions INC.

Senior Machine Learning Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Experience: 7+ years of experience in Machine Learning Engineering, Data Science, or related fields.
Posting language: English
Posted: Sep 28, 2026

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Original job description

Position: Senior Machine Learning Engineer

Location: Toronto, On (Hybrid)

Employment Type: Full-Time

Experience Required: 8 + Years

Position Overview:

We are seeking a highly skilled Senior Machine Learning Engineer to design, build, deploy, and support scalable machine learning solutions for enterprise AI initiatives.

Key Responsibilities:

Develop and operationalize end-to-end ML solutions, from data preparation and feature engineering to model deployment and production support.
Build, automate, and maintain ML pipelines using Azure ML, Databricks, MLflow, and MLOps best practices.
Deploy, monitor, troubleshoot, and optimize machine learning models in cloud environments.
Implement CI/CD pipelines for ML workflows and ensure reliable model lifecycle management.
Collaborate with Data Scientists, Data Engineers, and business stakeholders to accelerate AI solution delivery.
Support model monitoring, performance tracking, retraining, and governance activities.
Contribute to scalable AI platform development and integration with enterprise applications.

Required Skills:

7+ years of experience in Machine Learning Engineering, Data Science, or related fields.
Strong expertise in Python, SQL, Machine Learning, Azure ML, Databricks, MLflow, and MLOps.
Hands-on experience with model deployment, monitoring, CI/CD pipelines, and cloud-native ML platforms.
Proven track record of moving ML models from prototype to production.
Experience building scalable data and ML services in enterprise environments.
Strong problem-solving, collaboration, and communication skills.
Experience with Generative AI, Large Language Models (LLMs), Agentic AI frameworks, and GenAIOps.
Knowledge of AI evaluation, monitoring, governance, and lifecycle management for Gini applications.

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More about this job

Responsibilities

Develop, deploy, and support end-to-end machine learning solutions, including data preparation, feature engineering, production deployment, monitoring, and optimization. Build and maintain ML pipelines and CI/CD workflows, support model lifecycle and governance activities, and collaborate with technical teams and business stakeholders on enterprise AI solutions.

Requirements

Requires 7 or more years of experience in machine learning engineering, data science, or a related field, with strong expertise in Python, SQL, Azure ML, Databricks, MLflow, and MLOps. Candidates should have experience taking models from prototype to production, deploying and monitoring models, building scalable enterprise ML services, and working with Generative AI, LLMs, Agentic AI frameworks, and GenAIOps.

Skills

Python
SQL
Machine Learning
Azure ML
Databricks
MLflow
MLOps
Model Deployment
Model Monitoring
CI/CD Pipelines
Cloud-Native ML Platforms
Generative AI
Large Language Models
Agentic AI Frameworks
GenAIOps
AI Governance

Visa sponsorship

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Keywords

Machine Learning Engineering
Data Science
Python
SQL
Azure ML
Databricks
MLflow
MLOps
Machine Learning Pipelines
Feature Engineering
Model Deployment
Model Monitoring
CI/CD
Cloud-Native Platforms
Enterprise AI
Generative AI
Large Language Models
Agentic AI Frameworks
GenAIOps
AI Evaluation
AI Governance
Model Lifecycle Management
Data Engineering
Production Support
Scalable ML Services

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