Uniphore aims to drive AI transformation across enterprises by building a modern GenAI stack that integrates multimodal AI, Generative AI, Knowledge AI, Emotion AI, and workflow automation to create human-centric processes and experiences for customers and employees.
Requirements
- Minimum of 5 years of industry experience in artificial intelligence (AI), Natural Language Processing (NLP), Vision and Automatic Speech Recognition (ASR)
- In-depth knowledge of deep learning (DL) with expertise in PyTorch/TensorFlow
- In-depth understanding of Transformers, hands-on experience with the Hugging Face library, and the ability to solve NLP and ASR problems using LLMs
- Experience working with large datasets, addressing quality issues, and interpreting data with a focus on business goals
- Expertise in Python programming
- Hands-on experience in developing production-ready, scalable code
- Knowledge of deployment using environments such as: Docker, AWS, or Kubernetes
Responsibilities
- Evaluate, adapt, and develop new state of the art language and/or multimodal foundation models for enterprise applications
- Perform thorough empirical analysis of the approach and write production ready code
- Develop, modify and fine-tune ML/NLP and pre-trained enterprise-grade large language models (LLMs) and multi-modal models
- Ensure the developed models seamlessly integrate with other tools and company products and are aligned with the feedback that will be generated from enterprise customers
- Specify guidelines and design annotation processes for data; collaborate with data team on data preprocessing, consumption, and automated/manual annotations
- Evaluate product and algorithm performance using industry standard approaches and develop new evaluation paradigms; build up competencies comparing results of more complex approaches
- Write concise, readable, and modular code, continually improving the code, requiring minimal revision when moved to production
Other
- Master’s degree in Computer Science, Engineering, or related fields plus minimum of 5 years relevant experience
- OR Bachelor’s degree in Computer Science, Engineering or related experience plus a minimum of 7 years of relevant experience
- Ability to lead projects independently and mentor and guide other team members
- Good communication skills
- Location preference: USA - CA - Palo Alto
