2 Rezo.AI Jobs

Job Description :

Key Responsibilities :

- Design, develop, and deploy speech-to-text and text-to-speech models for various applications.

- Work with large language models (LLMs) and implement them in real-world projects.

- Analyze and interpret contact center calling data to generate meaningful business insights.

- Apply advanced statistical and machine learning techniques to solve complex business problems.

- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.

- Develop and maintain scalable data pipelines and workflows.

- Ensure data quality and integrity by implementing best practices in data management.

- Communicate findings and recommendations to stakeholders through detailed reports and presentations.

- Mentor and provide guidance to junior data scientists and data analysts.

Requirements :

Required Skills and Qualifications :

- Extensive experience with speech-to-text and text-to-speech technologies.

- Proficiency in working with large language models (LLMs) and deploying them in production environments.

- Strong analytical skills with the ability to derive business insights from large datasets, particularly contact center calling data.

- Expertise in statistical analysis, machine learning, and data mining techniques.

- Proficiency in programming languages such as Python and SQL.

- Experience with data visualization tools (e.g, Tableau, Power BI) to present insights effectively.

- Strong understanding of data engineering concepts and experience with data pipeline tools (e.g, Apache Kafka, Apache Spark).

- Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.

Educational Background :

- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.

- A Master's or Phd degree is a plus.

Preferred Qualifications :

- Experience with cloud platforms (e.g, Azure, AWS, Google Cloud) for deploying data science models.

- Familiarity with natural language processing (NLP) techniques and tools.