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 

Since 1998, Exadel has been engineering its products and custom software for clients of all sizes. Headquartered in Walnut Creek, California, Exadel has 2,000+ employees in development centers across America, Europe, and Asia. Our people drive Exadel’s success and are at the core of our values.

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 improve performance
• Utilize AI technologies such as OpenAI and earlier versions of GPT to enhance the accuracy and efficiency of language models
• 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 improve their overall accuracy and efficiency
• 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