Data Science Specialist, GenAI solutions development, Citi

Citi

Location:
Israel, Tel Aviv

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in Data Science and AI solutions to build the next generation Enterprise Document Platform. By Joining Citi, you will become part of a global organization whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

Job Responsibility:

Research and build knowledge in the forefront of AI
Build & maintain a roadmap of AI capabilities from inception to production
Guide data science team to perform their work and growth
Work with product and software development teams from requirements to production
Design, develop, test, support and maintain AI development

Requirements:

8+ years of experience in Data Science, with a focus on Natural Language Processing (NLP) and Document Understanding
Proven hands-on experience with Generative AI solutions applied to unstructured documents such as contracts, forms, reports, and free-text records
Expertise in LangChain for building LLM-based pipelines and orchestrating multi-step reasoning workflows
Proficiency in Python, including libraries such as Pandas, NumPy, Pydantic, FastAPI, and PyTorch or TensorFlow
Strong experience designing and fine-tuning LLM-based extraction, summarization, classification, and QA pipelines
Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation) frameworks, and evaluation techniques for GenAI models
Experience working with embedding models and vector databases (e.g., FAISS, Weaviate, Chroma)
Ability to evaluate and compare performance across open-source and proprietary LLMs (e.g., OpenAI, Claude, Mistral, LLaMA)
Understanding of the Model Risk Management (MRM) process, including documentation, validation, and governance standards for ML/AI models
Solid understanding of software engineering principles, with advantage for experience in: REST API design and integration
Version control (Git, GitHub/GitLab)
Cloud deployment and containerization (Docker, AWS/GCP/Azure)
Excellent problem-solving skills and ability to work independently on end-to-end solution development
Strong communication skills and ability to collaborate with product managers, engineers, and business stakeholders
Communication: Excellent communication and collaboration skills, with the ability to interact effectively with technical and non-technical stakeholders
Education: bachelor’s degree in a relevant field preferred (e.g., Data Management, Computer Science, Information Systems)

What we offer:

Generous holiday allowance starting at 22 days
Private medical insurance packages
Employee Assistance Program

Additional Information:

Job Posted:
July 15, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Science Specialist, GenAI solutions development