Collaborate with data engineers, technical leads and developers to deliver AI-based systems in the cloud and on edge using Kubernetes, Azure, containers.
Build deep learning-based training pipelines, leveraging latest deep learning and machine learning libraries.
Build and maintain the CI/CD pipeline for ML. Think DevOps for Machine Learning
Measure and optimize the quality of deployed algorithms, of deployed models
Build and maintain Application Programming Interfaces (APIs) and/or Software development kit (SDKs) that will expose the models to application developers
Collaborate with Executives, CX, and Digital Product teams to assist with related technical conversations and support their AI-based product needs.
Participate in various activities where you can share your knoweldge
Agile and new mindset promoter
Be updated, know the knew trends and suggest innovative ideas
Willingness to participate in all levels of project work when necessary.
Excellent English and French verbal and written
A real passion for bringing AI to production
Bachelor's degree in Computer Science, Engineering, or related quantitative field.
Understanding of data structures, data modeling and software architecture.
A great knowledge of probability, statistics, and mathematics
Min. of 3 years industry experience working with data, coding and scripting (Scala/Java/Python//Bash).
Min. of 3 years experience developing secure and scalable web APIs
Min. of 3 years experience training, deploying, and monitoring machine learning models with extensive knowledge of evaluation metrics and best practices
Experience with machine learning frameworks/libraries (Keras, Tensorflow, PyTorch, scikit-learn) and big data tools: Hadoop, Spark, Kafka.
Experience with relational SQL and NoSQL databases, (as SQL Server, MongoDB, CosmosDB, Cassandra)
Experience with automated data pipeline and workflow management tools: DevOps, ARM, Data Factory, Airflow.
Experience with Microsoft Azure: Machine Learning, SQL Data Warehouse, Apache Spark, Databricks, Data Factory.
Experience within an Agile environment
Retirement Plan & Group Registered Retirement Savings Plan (RRSP)
Employee Stock Purchase Plan
Physical Wellness Plan & Supplementary Maternity Plan
Flextime & Casual Fridays all year