Required Data Scientist
Israel – Raanana
We dont limit our challenges. We challenge our limits. Always. Were ambitious. Were game changers. And we play to win. We set the highest standards and execute beyond them. And if youre like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, whats the role all about?
Join our Research Group and help shape the next generation of AI technologies used by organisations worldwide. As a Data Science Researcher, you will design and develop advanced algorithms across NLP, Vision, and multimodal domains, with a strong emphasis on large language models (LLMs). Your work will directly influence production-grade capabilities for our industry-leading contact center solutions.
In this role, youll collaborate with other researchers, subject matter experts, and engineers to explore new ideas, validate hypotheses, and transfer research innovations into real-world applications. If you are curious, creative, and excited by impactful, state-of-the-art machine learning, this position is for you.
How will you make an impact?
Conduct research and prototype advanced machine learning algorithms in NLP, Vision, and multimodal modeling.
Design, refine, and evaluate algorithms that employ large language models (LLMs)
Analyze large-scale, real-world datasets to derive insights and guide algorithm development.
Transition research prototypes into production ready solutions through close collaboration with engineering teams.
Clearly communicate research findings, methodologies, and recommendations to both technical and nontechnical stakeholders.
Stay current with the latest advancements in AI and contribute to expanding the teams internal knowledge base.
Israel – Raanana
We dont limit our challenges. We challenge our limits. Always. Were ambitious. Were game changers. And we play to win. We set the highest standards and execute beyond them. And if youre like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, whats the role all about?
Join our Research Group and help shape the next generation of AI technologies used by organisations worldwide. As a Data Science Researcher, you will design and develop advanced algorithms across NLP, Vision, and multimodal domains, with a strong emphasis on large language models (LLMs). Your work will directly influence production-grade capabilities for our industry-leading contact center solutions.
In this role, youll collaborate with other researchers, subject matter experts, and engineers to explore new ideas, validate hypotheses, and transfer research innovations into real-world applications. If you are curious, creative, and excited by impactful, state-of-the-art machine learning, this position is for you.
How will you make an impact?
Conduct research and prototype advanced machine learning algorithms in NLP, Vision, and multimodal modeling.
Design, refine, and evaluate algorithms that employ large language models (LLMs)
Analyze large-scale, real-world datasets to derive insights and guide algorithm development.
Transition research prototypes into production ready solutions through close collaboration with engineering teams.
Clearly communicate research findings, methodologies, and recommendations to both technical and nontechnical stakeholders.
Stay current with the latest advancements in AI and contribute to expanding the teams internal knowledge base.
Requirements:
Advanced degree (MSc or PhD) in Computer Science, Mathematics, Engineering, or a related STEM field.
Hands-on experience using large language models (LLMs) via AWS Bedrock or other generative AI services.
Strong Python programming skills and proficiency with machine learning libraries.
AI engineering skills
Advanced adoption of AI coding tools such as Claude Code and GitHub co-pilot.
Experience using GenAI for data science work such as – LLM as a judge, data sets generation, weak labeling etc.
Experience working with Hugging Face or similar model libraries.
Solid understanding of machine learning theory and its practical application.
A track record of developing and implementing advanced algorithms.
Strong communication and presentation abilities.
Fluency in English.
You will have an advantage if you also have:
Experience developing production‑ready AI agents.
Experience fine tuning or evaluating large language models at scale.
Background in multi modal or Vision-based deep learning.
Experience working in globally distributed teams.
Familiarity with AWS or other cloud-based ML environments.
Advanced degree (MSc or PhD) in Computer Science, Mathematics, Engineering, or a related STEM field.
Hands-on experience using large language models (LLMs) via AWS Bedrock or other generative AI services.
Strong Python programming skills and proficiency with machine learning libraries.
AI engineering skills
Advanced adoption of AI coding tools such as Claude Code and GitHub co-pilot.
Experience using GenAI for data science work such as – LLM as a judge, data sets generation, weak labeling etc.
Experience working with Hugging Face or similar model libraries.
Solid understanding of machine learning theory and its practical application.
A track record of developing and implementing advanced algorithms.
Strong communication and presentation abilities.
Fluency in English.
You will have an advantage if you also have:
Experience developing production‑ready AI agents.
Experience fine tuning or evaluating large language models at scale.
Background in multi modal or Vision-based deep learning.
Experience working in globally distributed teams.
Familiarity with AWS or other cloud-based ML environments.
This position is open to all candidates.
