Head of Artificial Intelligence and Machine Learning
hace 2 días
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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