As an AI/Machine Learning Scientist at Quintessential, you will be responsible for designing, developing, and implementing machine learning models and algorithms that can automate business processes. You will work closely with cross-functional teams, including data engineers, software developers, and domain experts, to drive advancements in a range of technologies including Large Language Models, Process Mining and Graph Databases.Key ResponsibilitiesResearch, design, and implement machine learning models to solve business challenges.Work closely with software developers to integrate machine learning models into production systems.Stay abreast of the latest developments in AI and machine learning research to inform project strategies.Provide expertise and guidance on machine learning best practices to the broader team.Contribute to the development and maintenance of a scalable and robust AI infrastructure.Requirements:Ph.D. degree in Computer Science, Data Science, Machine Learning, or a related field.Experience in AI/Machine Learning research and development.Proficiency in Python.Experience with popular machine learning frameworks (TensorFlow, PyTorch, scikit-learn).Experience with using NVIDIA GPUs for fine tuning AI modelsStrong mathematical and statistical background.Excellent problem-solving and critical-thinking skills.Preferred QualificationsExperience with deep learning techniques and architectures.Familiarity with natural language processing (NLP) and Large Language Models (LLMs).Knowledge of distributed computing and cloud platforms (AWS, Azure, or Google Cloud).Research experience in Graph Neural Networks would be a plus.Strong publication record in relevant conferences or journals. Benefits:Join a pioneering joint venture at the intersection of AI and industry transformation.Work with a diverse and collaborative team of experts from various disciplines.Opportunity for professional growth and continuous learning in a dynamic field.Remote working (must be within 4-5 hours of CET timezone)