Location:Toronto,ON Hybrid

Duration:12 Months

Experience: 8 10 Years

Job Summary We are seeking an experienced Senior Machine Learning Engineer to design, build, deploy, and operationalize enterprise-grade Machine Learning solutions. The ideal candidate will have strong expertise in Python, SQL, Azure Machine Learning, Databricks, MLflow, MLOps, CI/CD, and cloud-native ML platforms. This role focuses on delivering end-to-end ML solutions, from data preparation and feature engineering to model deployment, monitoring, and lifecycle management.

Experience with Generative AI, LLMs, Agentic AI, and GenAIOps is highly desirable.

Key Responsibilities

Design, develop, deploy, and maintain scalable Machine Learning solutions in cloud environments.

Build end-to-end ML pipelines covering data preparation, feature engineering, model training, deployment, and monitoring.

Implement and manage MLOps practices using Azure ML, Databricks, MLflow, and CI/CD pipelines.

Deploy, monitor, and optimize ML models in production environments.

Develop scalable data pipelines and integrate ML solutions into enterprise applications.

Collaborate with Data Scientists, Data Engineers, and business stakeholders to deliver AI-driven solutions.

Monitor model performance, automate retraining, and manage model lifecycle.





Support production issues, troubleshooting, and continuous optimization of ML platforms.

Implement cloud-native ML architectures and automated deployment processes.

Contribute to Generative AI, LLM, Agentic AI, and GenAIOps initiatives where applicable.

Required Skills 8 10 years of experience in Machine Learning Engineering.

Robust proficiency in Python and SQL.

Hands-on experience with Azure Machine Learning.

Experience with Databricks and MLflow.

Strong knowledge of MLOps, CI/CD pipelines, and model lifecycle management.

Experience deploying and monitoring ML models in production.

Experience building scalable ML pipelines and cloud-native ML solutions.

Strong understanding of feature engineering, model development, and model deployment.

Experience integrating ML models into enterprise applications.

Excellent analytical, troubleshooting, and communication skills.

Preferred Skills Generative AI (GenAI)

Large Language Models (LLMs)

Agentic AI Frameworks

GenAIOps

Azure Cloud Services

Git, Azure DevOps, Docker, Kubernetes

Enterprise AI platform experience

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

📌 Job Title: Senior Machine Learning Engineer (Toronto)
🏢 Ju0026M Group
📍 Toronto