Job Summary The Machine Learning Engineer develops and supports machine learning solutions, turning data into helpful insights and tools. The role combines programming, analytics, and collaboration to help teams make informed decisions and deliver practical AI applications.

Duties

- Build, test, and maintain machine learning models using Python and TensorFlow, applying AI and natural language processing where appropriate.
- Prepare and analyze data with SQL, data mining, and analytics techniques; contribute to database design and reliable data workflows.
- Work with big data tools such as Spark and Hadoop, and use AWS to support scalable development and deployment.
- Document methods, evaluate model performance, and communicate findings to colleagues. Your impact: dependable models and clear insights help teams make better-informed decisions.





Experience Required: Practical machine learning, Python, SQL, and analytics capabilities support model development, data preparation, and evaluation. Clear communication and careful documentation help make results understandable and workflows reliable. Preferred: Experience with AWS, TensorFlow, Spark, Hadoop, database design, AI, natural language processing, or big data is valuable. Familiarity with C, Java, R, SAS, VBA, or Bash (Unix shell) can also support work across varied tools and data environments.

Pay: $100,000.00-$146,000.00 per year

Work Location: Hybrid remote in Toronto, ON M5B 2H1

📌 Machine Learning Engineer (Toronto)
🏢 Innosystech
📍 Toronto