Senior Generative AI Data Scientist, Citi

Citi

Location:

Israel, Tel Aviv

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

Not provided

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Job Description:

The Citi Innovation Lab is a leader in creating new ideas, innovative technology solutions, and ground-breaking innovations for Citi's global banking business. We're part of a global network of innovation centers, and our mission is to create competitive advantage for our clients by providing innovative technological solutions. Working closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence fostered in the Innovation Labs. Our Labs Network spans across cities like New York, Dublin, London, Tel Aviv, Singapore, and Shanghai. Our focus is on delivering cutting-edge products that use the latest technologies, even in highly complex setups, all while maintaining the highest delivery standards. Our Innovation Labs team works on research and implementation across various advanced domains, including AI, machine learning, NLP, analytics, blockchain, and more.

Job Responsibility:

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.

Requirements:

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.

Nice to have:

Publications and contributions to the AI research community are a plus
Experience in high tech or financial industry is beneficial but not mandatory.

Additional Information:

Job Posted:

March 21, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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