TL;DR
Analytics Engineer (AI): Providing data support for Agentic AI initiatives, specifically ASR and NLP teams, with an accent on optimizing conversational flows and underlying data infrastructure. Focus on building and maintaining data pipelines on Vertex AI, implementing automated QA for agentic systems, and ensuring data privacy and compliance.
Location: Vancouver, Canada Office
Salary: $106,300–$134,350 CAD
Company
hirify.global is a leading AI-powered customer communications platform, transforming how businesses communicate with their customers for over 50,000 companies globally.
What you will do
- Test and evaluate Agentic voice and chat solutions in collaboration with other AI teams.
- Design and implement data logging and monitoring strategies to capture key analytical insights.
- Utilize data analysis to identify and drive optimization in conversational flows and data pipelines.
- Build and maintain data pipelines on Vertex AI pipelines.
- Create and maintain dashboards (Tableau) and data pipelines (Dataform) to drive product and business decisions.
- Contribute to continuous efforts to enforce data privacy and compliance.
Requirements
- Bachelor's or Master’s degree in Computer Science, Software Engineering, or related fields.
- 1-3 years of experience with software engineering or data engineering projects.
- 1-3 years of experience with Python and GCP (storage, BigQuery, Compute, Kubernetes) or similar.
- 1-3 years of experience with SQL, able to optimize complex queries and build data pipelines.
- Experience with BI tools such as Tableau.
- Experience analyzing the performance of conversational AI systems.
- Experience working with popular LLM frameworks.
Culture & Benefits
- Be part of a collaborative team working toward making customers and employees successful.
- Opportunity to continuously evolve skills leveraging industry-leading AI.
- Work in an inclusive office environment designed to cultivate collaboration and connection.
- Join a company recognized repeatedly as a certified Great Place to Work.
- Competitive benefits and perks, alongside a robust training program.
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