Machine Learning Software Engineer

Jay Analytix • Toronto, ON

7d • Onsite

About The Position

We are looking for a Machine Learning Software Engineer to design, develop, and deploy scalable machine learning and AI solutions in a production environment. The ideal candidate will work closely with data scientists, engineers, and business stakeholders to turn data-driven insights into robust software systems.

Requirements

• Strong experience in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of algorithms, statistics, and data structures
• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of MLOps tools (Docker, Kubernetes, CI/CD pipelines)
• Experience working with large-scale data processing tools (Spark, Databricks is a plus)
• Strong software engineering and debugging skills

Nice To Haves

• Experience in financial services or banking domain
• Exposure to real-time or distributed ML systems
• Knowledge of data engineering and ETL pipelines

Responsibilities

• Design, build, and deploy machine learning models into production systems
• Develop scalable AI/ML pipelines for data processing, training, and inference
• Collaborate with cross-functional teams including data scientists and software engineers
• Optimize model performance, accuracy, and scalability
• Implement MLOps practices for continuous integration and deployment of models
• Work with large datasets and ensure data quality and integrity
• Monitor and maintain deployed models in production environments
• Contribute to system architecture and technical design discussions

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed