Lead Machine Learning Engineer - NLP / Artificial Intelligence

Responsibilities :

• 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.

Required Skill :

(ref : hirist.tech)