Offer summary

Qualifications:

Masters degree or equivalent in AI/ML/NLP or related field, 3+ years of experience in building production-quality Gen AI, NLP, speech, or deep learning systems, Strong software engineering skills and ability to communicate effectively, Passion for improving AI/NLP models and working in a dynamic environment..

Key responsabilities:

Build and improve NLP/AI models for AgentIQ products

Develop infrastructure for NLP/AI modeling, experimentation, and deployment

Collaborate with platform teams to create new tools and features

Document processes and provide internal training on relevant topics.

Job description

About Us

Agent IQ is a recently funded, rapidly growing mid-stage fintech company. Agent IQ is making intelligent, frictionless digital engagement easy and profitable. Our Lynq digital engagement platform improves communication and engagement between financial institutions and their customer. The platform has built in AI/automation functionality to seamlessly improve efficiency, help employees and generate insights about customer needs. We're excited about our growth and the opportunities ahead as we continue to change the way FIs service their customers in digital space. To achieve this we're building an amazing team, and here’s where you come in.

Role Description

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