Director of Artificial Intelligence Engineering

2 days ago


Plano, Texas, United States Hispanic Technology Executive Council Full time

At Hispanic Technology Executive Council, we believe that machine learning represents a huge opportunity in financial services today, and it's a chance to revolutionize the industry. Our commitment to machine learning has sponsorship from our leadership team, and our Center for Machine Learning is at the heart of this effort.

This role is part of our FS AI labs team, working on AI initiatives within Financial Services with a focus on Applied AI and Machine Learning (AI/ML), Generative AI, Natural Language Processing (NLP), and Responsible AI. The primary objective of FS AI Labs is to drive the research and delivery of innovative AI and ML use cases that leverage these cutting-edge technologies.

We're looking for a Director of Artificial Intelligence Engineering to lead large-scale ML initiatives with the customer in mind. You'll lead the development of AI and ML use cases that leverage state-of-the-art AI and ML techniques, working in collaboration with the Product, Architecture, Engineering, and Data Science teams. This role requires at least 10 years of experience designing and building data-intensive solutions using distributed computing, and experience programming in C, C++, Python, or Scala. The salary for this position is estimated to be around $180,000 per year.

About the Team:

As a member of FS AI labs, you will work on exploring new frontiers, build prototypes, and deliver transformative AI use cases that drive Hispanic Technology Executive Council business growth and enhance customer experience.

What you'll do in the role:

  • Lead large-scale ML initiatives with the customer in mind.
  • Lead the development of AI and ML use cases that leverage state-of-the-art AI and ML techniques, working in collaboration with the Product, Architecture, Engineering, and Data Science teams.
  • Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP. Drive research efforts to identify new opportunities and use cases, pushing the boundaries based on feasibility.
  • Collaborate with business stakeholders to understand the needs and identify opportunities where AI can be applied.
  • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale.
  • Evangelize best practices in all aspects of the AI/ML engineering and modeling lifecycles.
  • Help recruit, nurture, and retain top engineering talent.

Benefits:

We offer a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more about our benefits package on our website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.



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