AI/NLP/Data Engineer

As a AI/NLP/Large Data Engineer you will be responsible for building and improving ML and gen AI models, and suggestion/support tools, modeling & experimentation frameworks and building out the  technical core of AgentIQ. You will be given opportunity to drive positive technology improvements and develop state of the art yet practical NLP/AI applications. 

Responsibilities 

• Build and improve NLP/AI models at heart of AgentIQ product
• Build and improve infrastructure to support NLP/AI modeling, generation, experimentation and deployment
• Take ownership of NLP/AI trainer tools and data processing pipelines
• Brainstorm and prototype algorithmic improvements
• Develop customer specific and financial institutions focused machine intelligence
• Contribute to deploying/monitoring/debugging models in production 
• Take ownership of NLP/AI trainer tools and data processing pipelines
• Collaborate with platform teams on developing new tools and features needed for NLP/AI development and deployment
• Create and maintain documentation
• Provide internal training on applicable topics

 Requirements 

• Passion for improving AI/NLP models and making them more robust and scalable
• Ability/desire to work on AI/NLP models requiring little/no training data
• Thrive in a diverse, dynamic environment that leverages multiple tools and languages 
• The ability to communicate effectively with thoughtfulness and maturity 
• Make technology decisions that are best for the business of Agent IQ 
• Experience building production-quality Gen AI, NLP, speech, or deep learning systems
• Strong software engineering and interpersonal skills
• Ability and desire to quickly pick up on new topics and techniques
• Ability to quickly take an idea from conception and prototyping to deployment in production
• Masters degree or equivalent in AI/ML/NLP or related field
• 3+ years in related experience