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Researcher at Cognyte Netherlands BV

Herzliya, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

28 Feb, 26

Salary

0.0

Posted On

30 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Science, Data Structures, Algorithmic Research, M/LLMs, Agentic Frameworks, Deep Learning, NLP, Computer Vision, Time Series, Machine Learning, Programming Principles, Python, MLOps, Git, Kubernetes, Docker

Industry

Software Development

Description

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough… Technology is changing incredibly fast. The criminals know it, and they are taking advantage of it. We know it too. For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends and help make the world a safer place with leading investigative analytics software solutions. As a Cognyter you will: Design and execute research projects using advanced methodologies and tools to generate actionable insights that improve decision-making. Analyze data and apply critical thinking to identify innovation opportunities and optimize research processes. Prepare scientific reports and presentations to effectively communicate findings and recommendations to stakeholders. Collaborate across teams and consult with experts, demonstrating adaptability, receptiveness to feedback. Requirements Your toolbox B.Sc. in Computer Science or other relevant degrees. M.Sc. – advantage Experience in data structures and algorithmic research and implementation roles in related fields Knowledge and experience in using M/LLMs and agentic frameworks Knowledge and experience in deep learning – NLP, computer vision, time series or standard ML Fundamental knowledge of programming principles, substantial experience in Python and experience with MLOps practices (Git, Kubernetes, Docker, DVC – advantage) Ability to work independently and within a team in a fast-moving environment. Willingness to travel abroad (10%).

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Responsibilities

Design and execute research projects using advanced methodologies and tools to generate actionable insights. Analyze data and apply critical thinking to identify innovation opportunities and optimize research processes.