We are looking for an experienced Data Scientist with a focus on Generative AI for our client. In this role, you will develop and implement innovative AI solutions to optimize business processes and increase efficiency.
Main tasks:
Development and implementation of GenAI models to solve complex business problems.
Use of Python and tools such as MLflow, Kubeflow or Azure ML to manage machine learning workflows.
Application of TensorFlow or PyTorch for modeling and optimizing AI solutions.
Working with NLP techniques for processing and analyzing text data.
Implementation of Retrieval-Augmented Generation (RAG) for improved information retrieval.
Responsibility for MLOps to ensure model availability and quality.
Requirements:
Several years of experience working with Python and relevant ML tools (MLflow, Kubeflow, Azure ML).
Knowledge of TensorFlow or PyTorch.
Erfahrung in Natural Language Processing (NLP).
Familiarity with Retrieval-Augmented Generation (RAG).
Experience with MLOps and Generative AI.
Experience with Large Language Models (LLM).
Education:
Degree in Computer Science, Data Science or a related field.