Data Science & AI Engineer Google Cloud Platform
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Job Title: Data Science & AI Engineer Google Cloud Platform
100% Remote, bonus if local to OH
6+ months
Oxford s client is seeking a Senior Data Science & AI Engineer with expertise in cloud platforms, particularly Google Cloud Platform, to work on cutting-edge AI initiatives. Immediate projects involve Google Cloud Platform, including Gemini and Vertex AI capabilities, to automate processes in a large-scale contact center environment.
The role will contribute to multiple AI and data science proof-of-concepts (POCs), focusing on analyzing and processing several thousands of calls weekly, with the aim of operationalizing these systems by the end of the year.
Key Responsibilities:
- Develop automation solutions for Quality Assurance (QA) in a contact center, focusing on transcription, scoring, and analyzing calls using LLMs.
- Collaborate closely with Google Cloud environments to operationalize AI models, with a strong focus on large language models (LLMs) for tasks like call transcription and scoring.
- Analyze call recordings from the Genesis contact center platform, implementing automation to reduce manual efforts in the call scoring process.
- Organize and structure data within BigQuery, Snowflake, and Tableau for broader business consumption, turning call data into actionable insights.
- Drive Generative AI initiatives, leveraging advanced prompt engineering to extract insights such as call cancellation reasons from large datasets.
Skills and Qualifications:
- Cloud Expertise: Strong Google Cloud Platform (Google Cloud Platform) with a focus on Gemini and Vertex AI for AI/ML projects.
- AI/ML Knowledge: Proficiency in LLMs, transcription, and text-based analysis.
- Experience in data engineering and data lakes in AWS and BigQuery for Google Cloud Platform environments.
Bonus:
Experience with contact center environments (though not mandatory) and Automated QA processes for call scoring.