YOUR ROLE We're looking for a Senior Data Scientist who can build and optimize our AI models that power our voice AI platform. You'll be the brain behind our technology, ensuring our AI can handle complex conversations while maintaining high accuracy and natural-sounding interactions.
Your work will involve :
- Own end-to-end model development – from requirement gathering and algorithm design to implementation and deployment, you'll shepherd ML features through their complete lifecycle.
- Build for conversational intelligence – develop models that can handle hundreds of thousands of conversations per day with high accuracy and natural language understanding.
- Innovate through research – stay current with cutting-edge NLP and speech technologies, read research papers, and implement state-of-the-art solutions that give us a competitive edge.
- Design ML pipelines – create robust, scalable machine learning infrastructure that can continuously improve from our growing conversation data.
- Optimize for performance – identify and resolve model bottlenecks to ensure our voice AI delivers natural, real-time conversations without comprehension issues.
Why This Role Rocks
You'll have a front-row seat to building and optimizing cutting-edge AI models for voice intelligence.You'll get to work on natural language understanding, speech recognition, and conversational AI .You will be developing models that power conversations with some of India's biggest enterprises (Our voice AI technology is vetted by technical leaders at companies like Paytm) .You'll have direct impact on model accuracy, performance, and the company's AI capabilities.You'll build mission-critical AI systems that enable hundreds of thousands of natural-sounding conversations daily.QUALIFICATIONS
What We're Looking For5+ years experience in data science, machine learning, or related fieldStrong background in natural language processing (NLP) and conversational AI systemsExperience with speech recognition and text-to-speech technologiesProficiency in Python and data science libraries (NumPy, Pandas, scikit-learn)Familiarity with deep learning frameworks (PyTorch, TensorFlow, Hugging Face)AI & ML Skills○ Experience fine-tuning language models (LLMs) for specific domains or tasks
○ Expertise in analyzing conversational data at scale and extracting actionable insights
○ Knowledge of customer intelligence systems and experience building data-driven applications
○ Understanding of speech-to-text optimization and improving transcription accuracy
Data Engineering & Analytics○ Experience with large-scale data processing (handling hundreds of thousands of conversations)
○ Ability to design and implement data pipelines for continuous model improvement
○ Knowledge of feature engineering techniques for conversational data
○ Experience with A / B testing methodologies to evaluate model improvements
○ Familiarity with data visualization tools for presenting insights to stakeholders
Startup Mindset○ You've built and deployed ML models in production environments
○ Comfortable with fast-paced environment where you'll own critical data science decisions
○ Collaborative approach - you work well with engineering teams, product, and
founders
○ Growth-minded and excited about building customer intelligence systems
that scale
SOUNDS LIKE YOU?
User-obsessed : Users come first, above all else.Communication : You over-communicate. You communicate clearly and precisely, both verbally and in writing, including explaining technical concepts.Timeliness : You respect timelines and communicate beforehand if there is a blockerOwnership : You proactively take initiative to find solutions and focus on what must be done to create success.Grit : You pursue challenging goals with passion and courage.Intellectual curiosity : You want to constantly push yourself out of your comfort zone to try and learn new thingsEntrepreneurial : You are empowered to take decisions and act on them, treating this startup as your own