NoBroker - Manager - Data Science - ConvoZen.AI

Manager - Data Science - NoBroker.com, ConvoZen.AI

About Us:

NoBroker.com is the world's largest brokerage-free real estate marketplace, dedicated to transforming the real estate experience with cutting-edge products. ConvoZen is an enterprise-grade Unified Conversational Agent Platform that turns conversations into outcomes on a single AI Agent Stack.

The Role:

The Manager of Data Science is a vital "player-coach" role designed for a seasoned technical expert passionate about cutting-edge LLM development, speech intelligence, and people leadership. In this role, you will lead our applied research and development efforts across both text and voice AI, establish high benchmarks for model performance, and pioneer novel techniques for voice-enabled agentic systems.

What You'll Do:

- Team Leadership & Mentorship: Direct and manage a team of data scientists and speech engineers.

- Lead Speech & Audio R&D: Drive core research in Direct Speech-to-Speech architectures, advanced STT, and highly natural TTS.

- Advance GenAI & Agentic Workflows: Oversee projects to explore, prototype, and implement cutting-edge techniques in LLMs.

- Evaluation & Benchmarking: Design, build, and maintain a robust evaluation framework.

- Model Stack Strategy: Drive the strategy for our multimodal stack.

- Cross-Functional Partnership: Act as a core technical consultant to the Product team.

- Stay Research-Aligned: Stay constantly apprised of the latest academic research.

Qualifications:

- Education: Bachelors, Masters, or Ph.D. in Computer Science, AI, NLP, Speech Processing, Machine Learning, or a related quantitative field.

- Experience: 8+ years of hands-on industry experience in data science, with 4+ years in NLP, Speech/Audio Processing, and Machine Learning.

- Speech & Audio Stack Expertise: Deep understanding of STT pipelines and modern TTS architectures.

- Generative AI Stack Expertise: Deep experience with modern LLM stack, RAG pipelines, fine-tuning, and agentic frameworks.

- Technical Skillset: Expert-level proficiency in Python, PyTorch, Hugging Face, and vector databases.