AI/ML Expert

Need an individual with a strong understanding of AI/ML, with a specific focus on applied research and innovation in autonomous systems and conversational AI. Should be highly proficient in Python and possess extensive hands-on experience in AI agent framework design and development, like utilising LangChain-based APIs. Must have strong foundational knowledge of NLP and proven hands-on experience in the development of sophisticated conversational agents. In-depth, hands-on knowledge of Large Language Models (LLMs) and Small Language Models (SLMs), including a minimum of 1-2 years of specific experience in model fine-tuning. Must possess strong expertise in the quantization of language models and the deployment of these optimized models (SLM/LLM) directly on edge or embedded devices. Experience with Voice AI is a strong plus; specific knowledge of handling speech technologies (ASR/STT, TTS, and Intent/Entity extraction) is highly valued for our core work. Experience of working with Indian languages is a strong plus. Key Responsibilities: Drive innovation by developing edge-optimized language models, architecting multi-agent systems, and scripting robust data analysis and model evaluation pipelines. A strong academic or industry research track record is highly appreciated, particularly having good papers published in reputed AI/ML conferences. Strong problem-solving skills, an analytical mindset, and excellent teamwork skills to thrive in a fast-paced R&D environment. Qualifications: B.Tech / M.Tech. Additional Information: 6-8 Yrs

Responsibilities

Drive innovation by developing edge-optimized language models; Architecting multi-agent systems; Scripting robust data analysis and model evaluation pipelines

Requirements

Strong understanding of AI/ML with focus on applied research and innovation in autonomous systems and conversational AI; Highly proficient in Python with hands-on experience in AI agent framework design and development, like utilising LangChain-based APIs; Strong foundational knowledge of NLP and hands-on experience in development of sophisticated conversational agents; In-depth knowledge of Large Language Models (LLMs) and Small Language Models (SLMs) with 1-2 years of experience in model fine-tuning; Strong expertise in quantization of language models and deployment of optimized models (SLM/LLM) on edge or embedded devices; B.Tech / M.Tech; 6-8 years of experience

Nice to have

Experience with Voice AI; Knowledge of speech technologies (ASR/STT, TTS, Intent/Entity extraction); Experience working with Indian languages; Strong academic or industry research track record with papers published in reputed AI/ML conferences