Build AI data platforms and pipelines at Zebra as a hybrid Data and AI Engineer in Mississauga, working three days onsite weekly.
This Data and AI Engineer designs solutions from client requirements and oversees other engineers' development. The role emphasizes databases, SQL, cloud technologies, and modern integration tools. You will support AI products through scalable pipelines, transformations, validation, orchestration, and operational data delivery.
Key Responsibilities:
- Design and implement data platforms supporting AI products
- Develop parameterized pipelines leveraging GPUs and CPUs
- Transform data with Spark, Python, Scala, and Dask
- Automate workflows using Python and Argo
- Test, profile, validate, and optimize data pipelines
Requirements:
- Bachelor's degree or above in Computer Science or Engineering
- One-plus years programming with Python, Scala, or Go
- One-plus years using SQL and data transformation
- One-plus years developing distributed systems with Spark
- Database, agent, ontology, and data security experience
Apply data engineering, cloud, communication, and orchestration expertise to advance Zebra's AI products in Mississauga.
Data and AI Pipeline Engineer in Mississauga employer: Sustainable World, Inc.
Bank of America is an exceptional employer, offering a dynamic work environment in the heart of Toronto where innovation meets collaboration. Employees benefit from comprehensive growth opportunities, a strong focus on diversity and inclusion, and access to cutting-edge resources that empower them to excel in their roles. With a commitment to professional development and a culture that values teamwork, Bank of America stands out as a rewarding place for those looking to make a meaningful impact in the financial sector.
