Senior Machine Learning Engineer - LLM / RAG

Key Responsibilities :

• Provide technical leadership in ASR (Automatic Speech Recognition), TTS (Text-to-Speech), Dialogue Systems, LLMs, and RAG (Retrieval-Augmented Generation).
• Architect and implement scalable, low-latency ML systems for real-time Voice AI applications.
• Mentor, coach, and guide junior ML engineers to build internal capability.
• Drive the end-to-end lifecycle of ML projects including ideation, prototyping, deployment, and iteration.
• Collaborate closely with leadership across product, engineering, and research to align technical efforts with business strategy.
• Contribute to innovation by exploring emerging techniques like State Space Models (Mamba, Hamba).
• Ensure best practices in cloud-based deployment (AWS, GCP, Azure) for scalable solutions.

Requirements :

(ref : hirist.tech)