Full Job Description
Design, develop, and optimize ML models for NLP, CV, and data-driven applications.
Work with transformer architectures, multimodal AI models, and generative AI techniques. Implement ML pipelines, including data preprocessing, feature engineering, training, evaluation, and deployment.
Design and implement a Speech LLM-based virtual assistant .
Develop and maintain Python code for audio capture, encoding, modality fusion, LLM interaction, and text output. .
Integrate and configure pre-trained models for audio encoding, LLM and audio decoding.
Stay up-to-date with the latest research and advancements in Speech LLMs, audio processing, and related fields.
Document the system design, code, and experimental results Architect scalable, production-ready ML systems integrating MLOps best practices.
Set technical direction, ensuring best practices in AI research, model deployment, and engineering scalability.
Location
Bangalore / Chennai