Artificial Intelligence & Gen AI Engineer, Hybrid

Citigroup-posted 8 months ago
$96,960 - $145,440/Yr
Full-time • Mid Level
Tampa, FL
Credit Intermediation and Related Activities
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ML Solutions team is seeking a highly skilled and experienced AI/ML Engineer with a strong background in developing and deploying AI/ML models and Gen AI based solutions. In this hands-on role, you will be responsible for taking AI models from concept to production, utilizing traditional AI, generative AI and Large Language Models. You will collaborate closely with business partners and stakeholders to introduce and embrace these advanced technologies, elevating client experiences, delivering value to our customers, and ensuring regulatory compliance through cutting-edge technology solutions.

  • Lead by example and actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team.
  • Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks.
  • Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation.
  • Lead and participate in research activities to explore and advance state-of-the-art generative AI techniques.
  • Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services.
  • Work closely with business stakeholders across the bank to drive the adoption of generative AI and Large Language Models, identifying opportunities for innovation and value creation.
  • Ensure that AI initiatives meet regulatory requirements while pushing the boundaries of technology innovation.
  • Support execution of the strategy for generative AI research and development, aligning it with the bank's overarching goals and objectives.
  • Drive the adoption of modern engineering ways of working, including Agile, DevOps, and CI/CD.
  • Advocate for automated testing, infrastructure as code, and continuous monitoring to enhance software reliability.
  • Apply Behavior-Driven Development (BDD), Test-Driven Development (TDD), and unit testing to ensure code quality and functionality.
  • Conduct thorough code reviews, ensuring adherence to best practices in readability, performance, and security.
  • Implement and enforce secure coding practices, performing vulnerability assessments and ensuring compliance with security standards.
  • Collaborate effectively in agile environments, embracing DevOps principles and fostering a culture of continuous delivery and improvement.
  • Strong hands-on experience in Machine Learning, delivering complex solutions to production.
  • Experience with Generative AI technologies essential.
  • Domain knowledge of AI based automation in Financial system particularly in Post trade processing.
  • In-depth knowledge of deep learning and Generative AI frameworks such as TensorFlow, PyTorch, Langchain.
  • Experience with and other open-source frameworks/libraries/APIs like Hugging Face Transformers, Spacy, Pandas.
  • Proficiency in Python Software Development, following Object-Oriented design patterns and best practices.
  • Experience with evaluation, scoring with framework like ML Flow.
  • Experience of Docker container and edited a Docker file, experience with K8s is a plus.
  • Experience with Postgres and Vector DBs a plus.
  • Excellent problem-solving skills and the ability to think creatively.
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Bachelor's/Master's degree or equivalent experience in Computer Science, Data Science, Statistics, or a related field.
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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