Note: The job is a remote job and is open to candidates in USA. Intelliswift - An LTTS Company is seeking a Software Engineer to improve the performance, efficiency, and scalability of speech and audio AI models. The role focuses on optimizing machine learning training and inference pipelines, GPU utilization, evaluation frameworks, and infrastructure while collaborating with research scientists on ASR, TTS, and generative AI initiatives.
Responsibilities
- Optimize machine learning training and inference workflows for performance and scalability
- Refactor and improve existing ML models and training pipelines
- Collaborate closely with research scientists to translate research into efficient production-quality code
- Improve GPU utilization and reduce model training time
- Enhance evaluation frameworks and model benchmarking processes
- Organize, maintain, and improve machine learning codebases and infrastructure
- Analyze system bottlenecks and implement performance improvements
- Support speech, audio, and generative AI research initiatives
Skills
- 4+ years of software engineering experience
- Strong Python programming skills
- Strong PyTorch experience
- Experience optimizing machine learning models and training pipelines
- Experience with GPU performance optimization and acceleration
- Experience building, maintaining, or improving machine learning infrastructure
- Understanding of model training, evaluation, and experimentation workflows
- Experience working alongside AI/ML research scientists
- Experience with speech technologies such as ASR (Speech-to-Text) or TTS (Text-to-Speech)
- Experience refactoring research code into efficient, maintainable systems
- Experience improving machine learning code quality, structure, and maintainability
- Familiarity with distributed training and high-performance computing environments
Company Overview
Company H1B Sponsorship