Data Science & AI Engineer Google Cloud Platform
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
Apply Now
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
Apply Now