Hybrid Machine Learning Engineer Opportunity

Engage with cutting-edge technology as a Machine Learning Engineer in a hybrid setting in Montreal This role allows you to craft intelligent systems that drive business impact. The organization is looking for an experienced professional for a 12-month contract to develop machine learning solutions that integrate with complex enterprise systems. You will collaborate closely with software developers and business stakeholders to create real-world data applications. Your expertise will help shape both technical and strategic decisions. Key Responsibilities:

• Develop and maintain comprehensive machine learning solutions
• Train and optimize machine learning models effectively
• Establish scalable data pipelines and feature engineering
• Execute MLOps strategies to ensure operational efficiency
• Collaborate with various teams to deliver tailored ML solutions

Requirements:

• Minimum 5 years of experience in end-to-end machine learning
• Proficiency in Python and machine learning frameworks
• Solid experience in model optimization and validation processes
• Familiarity with cloud platforms such as AWS or Azure
• Knowledge of MLOps practices, including deployment automation

Make a difference in the hybrid work environment by applying your machine learning skills in an impactful way #J-18808-Ljbffr