Citi Group Senior Generative AI Data Scientist 

Israel, Center District, Nes Ziona 

173294398

Key Responsibilities:

• Hands-On Leadership: Lead by example and actively contribute to the development and delivery of generative AI solutions, driving innovation and excellence within the team.
• Monitoring Ongoing Research: Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field.
• Model Delivery to Production: Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks.
• Strategy Implementation: Execute the strategy for generative AI research and development, aligning it with the bank's overarching goals and objectives.
• Research and Development: Lead and participate in research activities to explore and advance state-of-the-art generative AI techniques, including GANs, VAEs, and other relevant technologies.
• Cross-Functional Collaboration: Ability to collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services.
• Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation.
• Stakeholder Engagement: 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.
• Regulatory Compliance: Ensure that AI initiatives meet regulatory requirements while pushing the boundaries of technology innovation.

Qualifications:

• Ph.D., master’s or equivalent experience in a relevant field (Computer Science, Machine Learning, etc.).
• Very strong experience in Machine Learning, delivering complex solutions to production.
• Proven hands-on experience in data science and Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG).
• Strong proven delivery track record.
• In-depth knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar.
• Proficiency in programming languages such as Python.
• 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.
• Publications and contributions to the AI research community are a plus.
• Experience in high tech or financial industry is beneficial but not mandatory.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Time Type:

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