Join the Future of AI and Data Science with WorkWarp
WorkWarp is seeking a highly skilled and experienced Data Science & AI Engineer Google Cloud Platform to join our team remotely! As a key player in our organization, you will have the opportunity to work on cutting-edge AI initiatives, leveraging the power of Google Cloud Platform, particularly Gemini and Vertex AI. Enjoy the freedom and flexibility of a remote role, with the possibility of a bonus if you are local to Ohio.
About Our Company and Culture
At WorkWarp, we are passionate about harnessing the potential of data science and AI to drive innovation and excellence. Our team is dedicated to delivering exceptional results, and we are committed to providing a dynamic and supportive work environment that fosters growth and learning. As a remote team member, you will have the opportunity to work independently, collaborate with our team, and contribute to the development of AI and data science solutions that make a real impact.
Job Summary
We are looking for a Senior Data Science & AI Engineer with expertise in cloud platforms, particularly Google Cloud Platform, to work on cutting-edge AI initiatives. The successful candidate 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): Design and implement automation solutions for QA in a contact center, focusing on transcription, scoring, and analyzing calls using large language models (LLMs).
- Collaborate with Google Cloud Environments: Work closely with Google Cloud environments to operationalize AI models, with a strong focus on LLMs for tasks like call transcription and scoring.
- Analyze Call Recordings: Analyze call recordings from the Genesis contact center platform, implementing automation to reduce manual efforts in the call scoring process.
- Organize and Structure Data: Organize and structure data within BigQuery, Snowflake, and Tableau for broader business consumption, turning call data into actionable insights.
- Drive Generative AI Initiatives: Leverage advanced prompt engineering to extract insights such as call cancellation reasons from large datasets.
Essential and Preferred Qualifications
Essential Qualifications:
- Cloud Expertise: Strong Google Cloud Platform (GCP) skills 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: Experience in data engineering and data lakes in AWS and BigQuery for Google Cloud Platform environments.
Preferred Qualifications:
- Contact Center Experience: Experience with contact center environments, particularly Automated QA processes for call scoring.
- Additional Cloud Platforms: Familiarity with other cloud platforms, such as AWS or Azure.
- Data Visualization: Experience with data visualization tools, such as Tableau or Power BI.
Skills and Competencies Required for Success
To excel in this role, you will need to possess a unique combination of technical, business, and interpersonal skills. Some of the key competencies include:
- Technical Skills: Strong programming skills in languages such as Python, Java, or C++.
- Data Analysis: Excellent data analysis and problem-solving skills, with the ability to interpret complex data sets.
- Communication: Effective communication and collaboration skills, with the ability to work with cross-functional teams.
- Adaptability: Ability to adapt to changing priorities and deadlines, with a focus on delivering high-quality results.
Career Growth Opportunities and Learning Benefits
At WorkWarp, we are committed to providing our team members with opportunities for growth and development. Some of the benefits of working with us include:
- Professional Development: Opportunities for professional growth and development, including training and mentorship programs.
- Flexible Work Arrangements: Flexible work arrangements, including remote work options and flexible hours.
- Competitive Compensation: Competitive compensation and benefits package, including a bonus structure.
Work Environment and Company Culture
Our company culture is built on a foundation of innovation, collaboration, and mutual respect. Some of the highlights of our work environment include:
- Remote Work: Flexible remote work arrangements, allowing you to work from anywhere.
- Collaborative Team: Collaborative and dynamic team environment, with regular team-building activities.
- Recognition and Rewards: Opportunities for recognition and rewards, including bonuses and employee recognition programs.
Compensation, Perks, and Benefits
We offer a competitive compensation and benefits package, including:
- Competitive Salary: A competitive salary, with opportunities for bonuses and performance-based incentives.
- Comprehensive Benefits: Comprehensive benefits package, including health, dental, and vision insurance.
- Flexible Time Off: Flexible time off policies, including vacation days and sick leave.
Conclusion
If you are a motivated and experienced Data Science & AI Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a key player in our organization, you will have the chance to work on cutting-edge AI initiatives, leverage the power of Google Cloud Platform, and contribute to the development of innovative solutions that make a real impact.
Don't miss this opportunity to join our team and shape the future of AI and data science! Apply today and let's build the future together.
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