Join our agile team as a Machine Learning Engineer focused on crafting creative AI solutions. This role allows you to utilize cutting-edge technology while working in a remote or hybrid model.As a full time engineer, you will collaborate closely with cross-functional teams to design machine learning systems and pipelines. The role is centered on deploying scalable ML applications, enhancing performance, and driving continuous improvements. Ideal candidates will have experience in Python and various ML frameworks.Key Responsibilities:
Develop and implement machine learning pipelines and workflows
Build, train, and evaluate robust machine learning models
Optimize models for real-world performance in production




Handle large datasets for effective model training
Monitor and improve the performance of deployed solutionsRequirements:
Bachelor's or Master's degree in related fields
Strong proficiency in Python and ML frameworks like TensorFlow
Hands-on experience with data preprocessing and evaluation techniques
Familiarity with cloud technologies and container deployments
Excellent debugging and problem-solving skillsUtilize your machine learning skills to influence AI development with a flexible working approach.#J-18808-Ljbffr

📌 Machine Learning Engineer For Ai Solutions Toronto
🏢 Sequoia Technologies
📍 Toronto