Senior LLM Data Scientist

As a Senior LLM Data Scientist at Sertis, your primary responsibilities include designing and implementing LLM-based solutions, collaborating with diverse teams to tackle business challenges, engaging in rigorous testing of AI models, and utilizing cloud platforms like AWS, Azure, and Google Cloud for development and deployment.

Candidates for the Senior LLM Data Scientist position at Sertis should possess a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, alongside proven experience in Python and familiarity with libraries such as PyTorch and scikit-learn. A strong grasp of AI advancements and experience with cloud platforms is highly beneficial.

Sertis encourages innovation for Senior LLM Data Scientists by providing access to the latest GenAI technologies, promoting a collaborative work culture, and offering professional development opportunities aimed at advancing your skills and career.

Sertis offers a hybrid working environment that allows Senior LLM Data Scientists to enjoy three days of remote work each week, providing flexibility while maintaining a dynamic office culture for collaboration.

At Sertis, a Senior LLM Data Scientist will have the opportunity to work on a variety of projects, including building chatbots, developing retrieval-augmented generation systems, and tailoring custom solutions that leverage the latest in AI technology.

To effectively answer this question, provide specific examples of projects or roles where you designed or implemented LLM-based solutions, highlighting your methodologies and the technologies you utilized.

Discuss your approach to rigorous testing and validation processes, including any tools or frameworks you use, and illustrate how you have improved model performance in previous positions.

Be clear about your proficiency in Python and discuss specific libraries such as PyTorch, scikit-learn, and Pandas. You can also mention projects where you successfully applied these skills.

Share your experience with AWS, Azure, or Google Cloud, discussing specific projects where you deployed solutions on these platforms and any challenges you faced.

Provide a concise explanation of RAG systems, emphasizing their importance in enhancing LLMs and any hands-on experience you have with designing or implementing such systems.

Highlight your commitment to continuous learning by mentioning any relevant courses, workshops, conferences, or literature you follow to stay abreast of AI developments.

Use the STAR method (Situation, Task, Action, Result) to structure your response, focusing on your analytical skills, creativity, and team collaboration.

Emphasize your ability to communicate openly with team members, share responsibilities, and rely on collective expertise to solve complex problems.

Discuss any specific techniques you have employed for model tuning, such as hyperparameter optimization, and detail how it improved model performance in your previous projects.

Align your personal and professional goals with Sertis’ mission and values, showcasing your enthusiasm for contributing to their innovative projects while expressing a desire to grow within a supportive environment.