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Urgent! Senior Machine Learning Engineer - LLM/RAG Job Opening In Bengaluru – Now Hiring Catalyst

Senior Machine Learning Engineer LLM/RAG



Job description

<p><p><b>Key Responsibilities :</b><br/><br/>- Provide technical leadership in ASR (Automatic Speech Recognition), TTS (Text-to-Speech), Dialogue Systems, LLMs, and RAG (Retrieval-Augmented Generation).<br/><br/>- Architect and implement scalable, low-latency ML systems for real-time Voice AI applications.<br/><br/>- Mentor, coach, and guide junior ML engineers to build internal capability.<br/><br/>- Drive the end-to-end lifecycle of ML projects including ideation, prototyping, deployment, and iteration.<br/><br/>- Collaborate closely with leadership across product, engineering, and research to align technical efforts with business strategy.<br/><br/>- Contribute to innovation by exploring emerging techniques like State Space Models (Mamba, Hamba).<br/><br/>- Ensure best practices in cloud-based deployment (AWS, GCP, Azure) for scalable solutions.<br/><br/><b>Requirements :</b><br/><br/>- Bachelors degree in Computer Science/Engineering or related field; MS/PhD preferred.<br/><br/>- Strong academic foundation, ideally from Tier-1 institutions (IIT, IIIT, IISc, BITS, top NITs).<br/><br/>- Deep expertise in Voice AI, Speech ML, and LLMs.<br/><br/>- Hands-on proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.<br/><br/>- Proven track record of delivering ML systems into production at scale.<br/><br/>- Prior experience in leading and mentoring ML engineering teams.<br/><br/>- Experience building multilingual AI solutions for diverse user bases.<br/><br/>- Strong background in model optimization, real-time performance tuning, and data pipeline design.<br/><br/>- Familiarity with modern State Space Models (Mamba, Hamba, etc.) is highly desirable.<br/><br/>- Excellent problem-solving, collaboration, and communication skills.</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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