AI Engineer
Tel Aviv-Yafo, Tel Aviv District, IL
ONE ZERO Digital Bank
Description
We’re looking for an experienced and passionate AI Engineer to join our digital banking team and help shape the future of finance through cutting-edge Generative AI technologies. In this role, you’ll be a key contributor to building smart, scalable, and secure AI solutions that will redefine the way customers interact with their bank.
מי אנחנו?
NoneYour Day-to-Day
- Knowledge of AI agent architectures, RAG, Judge models, and related technologies.
- Experience in data science, including deep learning and classical models.
- NLP experience.
- Machine learning engineering expertise.
- Passion for staying up to date with Generative AI advancements.
- Experience with Docker and Kubernetes
מה מחכה לך?
NoneRequirements
- Proven experience working with Generative AI models and relevant frameworks/libraries
- Strong skills in prompt engineering and optimization
- 3+ years of software development experience (preferably in Python)
- Hands-on experience with evaluation testing and model assessment
- knowledge of AI agent architectures, RAG, and judge models
- Background in data science, machine learning, and deep learning techniques
- NLP experience and familiarity with ML engineering best practices
- Experience with container technologies like Docker and orchestration tools like Kubernetes
- A passion for staying at the forefront of Generative AI research and applications
למי זה מתאים?
NoneAdvantages
- Experience with cloud-based AI solutions.
- Familiarity with MLOps practices and deployment pipelines.
- Strong analytical and problem-solving skills.
- Prior experience in the financial sector or fintech-related AI applications.
מה כולל התפקיד?
NoneONE ZERO: The Future Is Now
NoneONE ZERO: העתיד כבר כאן
None* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Banking Deep Learning Docker Engineering Finance FinTech Generative AI Kubernetes Machine Learning MLOps NLP Pipelines Prompt engineering Python RAG Research Testing
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