Senior Data Scientist
About the Job We are looking for a highly skilled and experienced Senior Data Scientist to lead our initiatives in leveraging large language models (LLMs), retrieval-augmented generation (RAG), and advanced embedding techniques. This role involves developing and fine-tuning AI-driven agents to enhance our data processing and analytics capabilities. This role is ideal for someone passionate about pushing the boundaries of AI technologies and eager to lead innovative projects. If you are ready to make a significant impact in a cutting-edge field, we encourage you to apply. Responsibilities Design and implement innovative validation and verification algorithms for Agentic RAG and Embedding models. Continuously research and apply the latest advancements in machine learning and AI. Oversee new AI product features development from customer requirements to delivery. Support customers and the R&D team in a wide range of algorithmic challenges, from statistical analysis, through classic ML to state of the art Gen AI. Design and implement innovative validation and verification algorithms for Agentic RAG and Embedding models. Continuously research and apply the latest advancements in machine learning and AI. Oversee new AI product features development from customer requirements to delivery. Support customers and the R&D team in a wide range of algorithmic challenges, from statistical analysis, through classic ML to state of the art Gen AI. Requirements Proven expertise in LLMs, RAG, and embedding models with a solid foundation in AI and ML. Hands-on experience in designing and building AI agents. Strong programming skills. Excellent problem-solving abilities and strong analytical skills. Ability to communicate complex technical ideas effectively. Proven expertise in LLMs, RAG, and embedding models with a solid foundation in AI and ML. Hands-on experience in designing and building AI agents. Strong programming skills. Excellent problem-solving abilities and strong analytical skills. Ability to communicate complex technical ideas effectively. Qualifications Master’s degree or PhD in Computer Science/ Data Science/ Artificial Intelligence/ related field. Minimum of 5 years of experience in a data science role with at least 2 years focusing on LLMs, RAG, and embedding technologies. Master’s degree or PhD in Computer Science/ Data Science/ Artificial Intelligence/ related field. Minimum of 5 years of experience in a data science role with at least 2 years focusing on LLMs, RAG, and embedding technologies.
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