Key Responsibilities

- Conduct applied research to develop, train, and optimize speech recognition models incorporating NLP, deep learning, and generative AI techniques.
- Design and experiment with LLMs and RAG models for improved conversational AI systems.
- Drive finetuning and domain adaptation strategies for enhancing model performance on multilingual and low-resource speech data.
- Work with agentic AI frameworks to enable advanced workflow orchestration and stateful agent interactions.
- Collaborate with cross-functional teams, including other AI researchers and scientists, to seamlessly integrate features and functionalities.
- Collaborate with engineering teams to implement and deploy scalable cloud-based AI pipelines and services.
- Analyse and preprocess large-scale speech datasets, ensuring high-quality data management for model training.
- Publish research findings in internal and / or external conferences,



actively participate in hackathons and contribute to the scientific community.
- Mentor junior researchers and contribute to knowledge sharing and technical leadership within the team

Required Skills

- Expertise in speech and audio signal processing, in domains such as speech coding, speech enhancement, automatic speech recognition (ASR), or text-to-speech (TTS) and/or neural synthesis
- Experience with deep learned representations and self-supervised learning
- Experience with capture, transmission, and rendering of speech and audio
- Experience developing algorithms and systems for mobile voice telephony and/or voice interfaces
- Embedded software development for ARM, DSP, and/or neural signal processing hardware
- B.Tech/M.Tech/Ph.D. Computer Engineering
- Robust understanding of hardware-aware optimization (CPU, GPU, edge ac

📌 Speech Scientist (Kolkata)
🏢 Mihup Communications
📍 Kolkata