Machine Learning Engineer Lead

Job Title: Machine Learning Engineer Lead
Duration: 12 months
Location: Hybrid, 2+ days in the office |Downtown, Toronto Laptop will be provided

Daily Responsibilities:

• Design, develop and test python programs to implement data science algorithms to production, and write the documents.
• Collaborate with data scientists, data engineers and software engineers to build end-to-end AI products.
• Meet business teams to understand their requirements, collect feedbacks and integrate to the product development.
• Join team meetings and daily standups

What program/technology/software knowledge is essential for this role? Describe in what capacity the selected candidate will be using it?

• Expert on python programming, strong data science knowledges including deep learning framework, strong pyspark and SQL skills. Software development skills are preferred, but not mandatory.

Must-have Skills/Experiences and/or Education, certifications, qualifications, designations:

• Very strong python programming skills, strong data science knowledges such as model development and evaluation, deep learning frameworks
• 2+ years working/project experience on machine learning engineering or data science domain
• Master or PhD in Computer Science, Software Engineering or Data Science is required.
• Strong Python programming skill for implementing data science algorithms and/or developing software.
• Expert with machine learning frameworks and libraries, such as TensorFlow, PyTorch, and Scikit-Learn.
• Experience working with big data technologies such as Hadoop, Spark, and NoSQL databases.
• The ability to work collaboratively with data scientists, data engineers, and other stakeholders.
• Familiar with data analysis and visualization tools, such as pandas, Numpy, Matplotlib or Seaborn.