Technical skills
Role signals
About this role
饾棫饾椀饾椂饾榾 饾椏饾椉饾椆饾棽 饾椂饾榾 饾棾饾椉饾椏 饾椉饾椈饾棽 饾椉饾棾 饾榿饾椀饾棽 饾棯饾棽饾棽饾椄饾棻饾棶饾槅'饾榾 饾棸饾椆饾椂饾棽饾椈饾榿饾榾
饾棪饾棶饾椆饾棶饾椏饾槅 饾椏饾棶饾椈饾棿饾棽: 饾棩饾榾 饾煯饾煴饾煬饾煬饾煬饾煬饾煬 - 饾棩饾榾 饾煴饾煬饾煬饾煬饾煬饾煬饾煬 (饾椂饾棽 饾棞饾棥饾棩 饾煯饾煴-饾煴饾煬 饾棢饾棧饾棓)
Experience: 6+ yrs
Location: pune, bangalore, chennai
As a Senior Generative AI Scientist, you will spearhead the design and deployment of cutting鈥慹dge conversational and voice intelligence solutions, driving the integration of large language models with real鈥憌orld applications. You will architect and optimize retrieval鈥慳ugmented generation pipelines, ensuring robust LLM observability and performance at scale. Collaborating closely with product, engineering, and data teams, you will translate business challenges into AI-enabled products that deliver measurable impact.
Your role will involve continuous experimentation, model fine鈥憈uning, and the development of best鈥憄ractice guidelines for responsible AI use.
Requirements
- 饾棡饾棽饾槅 饾棩饾棽饾榾饾椊饾椉饾椈饾榾饾椂饾棷饾椂饾椆饾椂饾榿饾椂饾棽饾榾
- Lead the research, design, and implementation of conversational AI models that power chat, voice, and multimodal interfaces.
- Develop and maintain end鈥憈o鈥慹nd RAG systems, including data curation, semantic indexing, and retrieval heuristics.
- Implement observability frameworks for LLMs, monitoring metrics such as latency, hallucination rates, and bias indicators.
- Conduct rigorous A/B testing and real鈥憌orld validation to refine model outputs and user experiences.
- Mentor junior scientists and data engineers, fostering a culture of experimentation and continuous learning.
- Collaborate with cross鈥慺unctional teams to define product roadmaps and quantify AI impact on key business KPIs.
- Spearhead the adoption of open鈥憇ource and proprietary tools for model training, evaluation, and deployment in cloud environments.
- Drive the creation of guidelines and policies for responsible AI, ensuring compliance with regulatory and ethical standards.
- Engage with academic and industry communities to stay abreast of emerging research and technologies.
- Present findings and strategic insights to senior leadership, shaping the organization鈥檚 AI strategy.
- 饾棯饾椀饾棶饾榿 饾棤饾棶饾椄饾棽饾榾 饾棳饾椉饾槀 饾棶 饾棜饾椏饾棽饾棶饾榿 饾棛饾椂饾榿
- 6+ years of experience in applied AI, with a strong focus on conversational and voice AI systems.
- Proven expertise in building and scaling RAG pipelines, leveraging retrieval techniques and knowledge graphs.
- Deep knowledge of LLM architecture and the ability to implement observability and monitoring solutions.
- Hands鈥憃n experience with major frameworks (PyTorch, TensorFlow, Hugging Face, LangChain) and cloud platforms (AWS, GCP, Azure).
- Strong programming skills in Python, along with proficiency in data engineering tools such as Apache Spark or Dask.
- Track record of publishing research papers or delivering open鈥憇ource contributions in AI and NLP domains.
- Excellent collaboration and communication skills, with the ability to translate technical concepts to non鈥憈echnical stakeholders.
- Demonstrated leadership in guiding cross鈥慺unctional teams through end鈥憈o鈥慹nd AI projects from ideation to production.
- Ability to think strategically about AI product roadmaps and articulate long鈥憈erm vision.
- Passion for staying current with AI advancements and integrating the latest innovations into practical solutions.