Senior Data Scientist

We are seeking a highly skilled Senior Data Scientist with a strong background in Machine Learning and Large Language Models (LLM) to join our growing team.

Work at Exadel - Who We Are 

We don’t just follow trends - we help define them. For 25+ years, Exadel has transformed global enterprises. Now, we’re leading the charge in AI-driven solutions that scale with impact. And it’s our people who make it happen - driven, collaborative, and always learning.

About Our Customer

America’s un-carrier delivers an advanced 4G LTE and transformative nationwide 5G network offering reliable connectivity. The brand operates in parts of Europe, but the U.S. is its largest market. The un-carrier’s customers benefit from its unmatched combination of value and quality and unrivaled drive for disruption, creating competition and innovation in wireless and beyond.

Requirements

• 5+ years of hands-on experience in Data Science with a focus on Machine Learning
• Proficiency in LLM applications, including fine-tuning and optimizing models
• Strong background working with AI technologies such as OpenAI and earlier versions of GPT
• Familiarity with working in large-scale organizations and understanding complex systems and data pipelines
• Expertise in improving the accuracy of LLM and driving innovations in language model performance
• Strong analytical skills and ability to work with large datasets to derive meaningful insights
• Ability to communicate complex technical concepts to non-technical stakeholders
• Availability to work until 7 PM CET

English level

Upper-Intermediate

Responsibilities

• Apply advanced Machine Learning techniques to design and develop LLM-based applications and enhance performance
• Utilize AI technologies such as OpenAI and earlier versions of GPT to improve the accuracy and efficiency of language models
• Work with AI solutions to test LLM accuracy, ensuring high-quality model outputs
• Evaluate model quality by measuring the percentage of correct responses (accuracy) and identifying areas for improvement
• Automate the testing process with a focus on achieving 80% accuracy in model predictions
• Collaborate with cross-functional teams to implement innovative solutions and solve complex problems using LLM applications
• Conduct research and continuous optimization of LLM models to enhance their overall performance
• Work closely with stakeholders to identify business needs and develop data-driven solutions that add value to the organization
• Stay current with the latest advancements in AI and Machine Learning technologies, contributing to ongoing improvements and optimizations