Description

Job Responsibilities include:

Collect, preprocess, and refine speech datasets in collaboration with data teams to ensure high-quality training inputs.

Develop, train, and optimize speech AI/ML models for performance and scalability in production environments.

Design and execute model evaluation frameworks to assess accuracy, quality, and efficiency.

Analyze model outputs, troubleshoot performance issues, and implement improvements based on findings.

Collaborate with cross-functional teams to enhance data pipelines and model deployment readiness.

Continuously improve data collection methods and training strategies to optimize overall system performance.

Required Qualifications:

Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field.

3–5+ years of experience in AI/ML engineering, preferably in speech technologies.

Strong expertise in speech processing (ASR, TTS) with hands-on experience in model training, evaluation, and optimization using Python.

Proven ability to troubleshoot model performance, improve data pipelines, and work in fast-paced, production-focused environments

Key Skills

Education

Any Graduate