Description

You will drive the quality of the company's AI systems by designing rigorous evaluation frameworks and scaling ASR and NLP models to deliver actionable insights for real-time customer interactions.

Requirements

• •Master’s, Ph.D. in Computer Science, or related field
• •Experience building and deploying production ML models
• •Background in speech recognition or related domains
• •Experience with model evaluation and error analysis
• •Proficiency with ML frameworks and libraries
• •Understanding of modern ML and transformer models
• •Experience building data pipelines and tooling
• •Passion for improving production-grade AI quality

Tasks

• •Design and maintain evaluation frameworks for ASR and NLP systems
• •Lead ASR quality improvements through error analysis and dataset curation
• •Define quality metrics like WER and task-specific benchmarks
• •Analyze large-scale speech and text data to identify failure modes
• •Develop and deploy ML models for speech and text classification
• •Extract entities and generate structured insights from data
• •Translate experimental research into production-ready systems
• •Align model quality metrics with customer and business goals
• •Optimize ML pipelines and evaluation workflows for scale
• •Establish best practices for continuous quality monitoring in production

Tools & Technologies

Benefits