At Cognyte we create mind-blowing investigative analytics software to speed up investigations and allow customers to detect and respond to real security threats like terror, crime, fraud, cyber threats, crypto crime, and more.
So, if you rock as a
Data Scientist, and want in on the action, let’s talk!
As a
Data Scientist you’ll make an impact on
- LLM Fine-Tuning - Lead the development and optimization of Large Language Models, ensuring they perform exceptionally well on various natural language processing tasks. You'll collaborate closely with our research team to refine model architectures and parameters.
- Production-Ready Code - Bridge the gap between research and deployment by transforming experimental models into efficient and scalable production code. Your code will be the backbone of real-world applications powered by LLMs.
- Data Analysis - Dive deep into complex datasets, perform analysis, and extract actionable insights. Your expertise in data exploration and preprocessing will drive the success of our projects.
- Cross-Functional Collaboration - Work closely with a diverse team of data scientists, engineers, and product managers to understand business requirements and translate them into data-driven solutions.
- Research and Innovation - Stay at the forefront of natural language processing research, continuously exploring new techniques and methods to improve model performance.
Requirements:
Your toolbox
- A master's or Ph.D. in a related field (Computer Science, Data Science, Machine Learning, etc.) is preferred.
- 6 months temporary position.
- Strong experience with Large Language Models like GPT, BERT, or similar, including fine-tuning and customization.
- Proficiency in Python and experience in writing production-grade code. Familiarity with frameworks such as PyTorch or TensorFlow is a plus.
- A deep understanding of machine learning techniques and algorithms, particularly in natural language processing.