Head of Artificial Intelligence and Machine Learning

hace 2 días

Ciudad de México, Ciudad de México Citibank A tiempo completo

Job Summary:

The Head of Gen AI and Intelligence is accountable for overseeing the development and implementation of machine learning strategies within Citibank. This role leads a team of machine learning experts who design, build, and deploy machine learning models to solve complex business problems.

Key Responsibilities:

  • Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization.
  • Architect a full ML Platform and build out the infrastructure to support scalability.
  • Provide collaborative leadership to build out the AI function, MLEs, MLOps and Data Engineering.
  • Collaborate with stakeholders and project managers to turn business goals into technical solutions.
  • Define best AI/ML driven practices and AI lifecycle.
  • Oversee model training and optimization.
  • Coach and mentor our team as we build scalable data and machine learning solutions.
  • Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies.
  • Inform and deliver on ambitious product roadmaps to accelerate growth.

Requirements:

  • 10+ years of experience in technology planning with commensurate experience in people management.
  • Budget management, Risk & Control management, influencing skills.
  • 5+ years of hands-on experience designing and implementing elegant machine learning models at internet scale.
  • High level experience in AI/ML fundamentals.
  • Strong background in software.
  • Up-to-date knowledge of AI/ML technologies and their trends, including various libraries and tools.
  • Built feature stores and auto ML capabilities.
  • End to end ML work and deploying of models.
  • Knowledge of how full stack SaaS products work, scale and perform.
  • Commercial experience building architecture on AWS.
  • Expertise with cutting edge technologies such as transfer learning, unsupervised feature generation, meta-learning, generative text models, computer vision, sensor fusion, or reinforcement learning.
  • Proficient in deep programming to implement solutions in production.
  • Advanced data science and mathematical skills (e.g. PhD in computational modeling, machine learning, statistics, computer science).
  • Experience with modern databases, cloud environments, and data ecosystems.
  • Experience defining and leading large-scale projects with multiple stakeholders.
  • Experience within a leadership role where you have proven success with building and maintaining teams.

Preferred Qualifications:

  • Bachelor's/University degree, Master's degree preferred.

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