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Uniphore

Senior Staff AI Scientist

Reposted 2 Hours Ago
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In-Office
Bangalore, Bengaluru Urban, Karnataka
Senior level
In-Office
Bangalore, Bengaluru Urban, Karnataka
Senior level
The Staff AI Scientist role involves developing AI applications for enterprises, focusing on agentic platforms, RAG systems, and collaborating with cross-functional teams. Responsibilities include AI research, production code development, and project management.
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Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.  
  
Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.  
  
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.   

Job Description:
 

Uniphore is The Business AI Company. We enable businesses to rapidly adopt, significantly transform, and immediately unlock value through AI, by providing a platform that allows business users to effortlessly harness agentic AI, tapping into enterprise knowledge that is grounded in their own proprietary data. We enable the Global top 1000 customers to achieve their business outcomes through our core principles of providing composable, sovereign and secure AI.

Job Role:

We are seeking an experienced Senior Staff AI Scientist to lead the design, development, and deployment of next-generation AI systems across enterprise-scale applications. This role offers the opportunity to drive execution of AI initiatives from research through production, influencing system design and architecture decisions, and mentor teams working on transformative AI technologies that serve global business users.

Key Responsibilities

  • Design and develop agentic AI systems and retrieval-augmented generation (RAG) applications for large enterprises.
  • Research and implement methods for fine-tuning, alignment, and evaluation of AI agents and RAG systems.
  • Contribute to the development of our agentic platform, including context management, memory architectures, evaluation frameworks, and trust and safety mechanisms.
  • Conduct applied AI research by evaluating, adapting, and extending state-of-the-art open-source models.
  • Lead multiple AI projects from research and prototyping through production deployment as part of cross-functional teams including engineering, product management, and solutions engineering.
  • Mentor and elevate the team: Provide technical leadership, peer mentorship, and guidance on research rigor, experimental methodology, and ML best practices.
  • Lead cross-functional AI initiatives: Partner with engineering, research, and product leaders to translate strategic goals into robust technical roadmaps and deliver measurable value in production.

Qualifications

  • Master’s or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
  • 10+ years of industry experience in AI/ML for candidates with a Master’s degree, or 6+ years for Ph.D. candidates.
  • Expertise in probability, statistics, linear algebra, and machine learning.
  • Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow, with experience using modern ML tooling (e.g., Hugging Face, vLLM).
  • Experience building production-ready, scalable machine learning systems.
  • Deep understanding of modern AI techniques in areas such as NLP, multimodal AI, speech (ASR), or computer vision.
  • Strong publication record in top-tier conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, or AAAI is preferred.
  • Experience with model fine-tuning and reinforcement learning
  • Track record of technical leadership on large-scale AI projects and the ability to guide full lifecycle model delivery—from research through evaluation and deployment.


 


Location preference:

India - Bangalore


Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
 
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.

Top Skills

Hugging Face
Python
PyTorch
TensorFlow

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