Join our dynamic team as a Machine Learning Engineer focused on crafting innovative 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 solutions

Requirements: • Bachelor's or Master's degree in related fields • Solid 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 skills

Utilize your machine learning skills to influence AI development with a flexible working approach. #J-18808-Ljbffr

📌 Machine Learning Engineer for AI Solutions (Winnipeg)
🏢 Sequoia Technologies
📍 Winnipeg