sparq

AI Engineer

• Design, develop, and optimize AI models, including training and fine-tuning for various applications.
• Implement and deploy AI solutions on a cloud platform, ensuring scalability and performance.
• Utilize Python for data preprocessing, model development, and automation of AI workflows.
• Collaborate with the development team to broaden AI capabilities and enhance existing solutions.
• Research and experiment with cutting-edge AI technologies, staying ahead of industry advancements.
• Optimize and monitor AI models post-deployment, ensuring efficiency, accuracy, and reliability.

Senior AI Engineer

Data Engineer

• Design and implement scalable and high-performance data pipelines using Snowflake or Matillion, DBT, and the Microsoft Data Stack (Azure SQL Database, Azure Data Factory, Azure Synapse Analytics).
• Collaborate with cross-functional teams to gather requirements, define project scope, and develop data models.
• Provide technical leadership and mentorship to junior data engineers, guiding them in best practices and coding standards.
• Conduct code reviews to ensure quality, performance, and adherence to best practices.
• Serve as a subject matter expert in Snowflake or Matillion, DBT, and the Microsoft Data Stack, staying abreast of industry trends and advancements.
• Troubleshoot and optimize existing data pipelines and processes to improve performance and reliability.
• Create and maintain technical documentation, including architecture diagrams, design documents, and implementation guides.

Senior Data Engineer

Scrum Master

• Facilitate core Agile ceremonies including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives.
• Partner with client stakeholders and delivery teams to align Agile practices with the client’s current operating environment.
• Manage team workflow within Jira and Confluence, maintaining boards, dashboards, and documentation.
• Coordinate release planning activities and support deployment of deliverables across complex environments.
• Identify risks, blockers, and dependencies early while helping teams stay focused on sprint goals.
• Support cross-functional collaboration across blended client and Sparq teams.
• Translate complex technical or domain concepts into structured work that can be delivered iteratively.
• Coach teams on Agile practices while evolving processes in a collaborative, low-friction manner.
• Coordinate manual and automated testing activities, including test case creation and execution.
• Ensure alignment with internal operational processes including delivery standards, reporting, and timesheet compliance.

Senior AI Engineer

Senior Data Engineer

Senior Scrum Master