Senior AI/Machine Learning Scientist

4 weeks ago


Glasgow, United Kingdom Quintessential AI Full time

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)




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