Senior AI/Machine Learning Scientist - London, United Kingdom - Quintessential AI

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    Description

    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 Responsibilities

    • Research, 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 models
    • Strong mathematical and statistical background.
    • Excellent problem-solving and critical-thinking skills.

    Preferred Qualifications

    • Experience 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)