SR AI Engineer 

 
Uniphore is a leading B2B AI-native company with decades of proven success. Engineered for scalability and tailored for enterprise needs we drive AI transformation that delivers real business impact across multiple industries and the largest global deployments.  

Our Zero Data AI Cloud is built on a multimodal AI and data platform and is at the heart of this transformation enabling businesses to swiftly deploy AI across the enterprise.  

At Uniphore we are building the modern GenAI stack for the enterprise. That includes all required layers and capabilities: data; knowledge; agents model training deployment and operationalization; and applications that act both as conduits for GenAI actions as well as sources of training data for our models.  

Unlike mega-Tech vendors who have to deal with decades of legacy code or young startups that have no Enterprise customer base we believe we are positioned to capitalize the GenAI moment better better than any other software vendor.  

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.  

Today Uniphore’s technology empowers over 750000 end-users across 1600 enterprises in 20 countries. Discover the unmatched capabilities of Uniphore—because there’s no AI like it™.  

About the role: 

As a SR AI Engineer you will positively impact our customers and end users by utilizing machine learning (ML) and Generative AI techniques.   

The ideal candidate will have strong foundations in computer science algorithms ML/NLP superb communication skills relevant industry experience and a proven track record of delivery under tight deadlines. 

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 

• Collaborate with other teams provide input and contribute to the delivery of AI services for critical projects 

• Write concise readable and modular code continually improving the code requiring minimal revision when moved to production 

• Manage large datasets address and resolve quality issues and interpret data with a focus on business goals 

• Develop clear documentation of the work plan its evolution and results 

• Regularly read and assess publications on existing methods and compare internal solutions to alternative method 

Qualifications & Skills 

• 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 

• 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 

• Ability to lead projects independently and mentor and guide other team members 

• Knowledge of deployment using environments such as: Docker AWS or Kubernetes 

• Good communication skills  

Benefits 

Uniphore offers a competitive offer and premium benefits including insurance pre-IPO options leave and other perks. 

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