Senior AI/Machine Learning Scientist

3 weeks ago


United Kingdom Complexio Full time

Complexio is Foundational AI. This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently.

 

Complexio is a joint venture between Hafnia, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan and Símbolo


Responsibilities

About the job

As an AI/Machine Learning Scientist at Complexio, 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.



Qualifications

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

(Remote must be within 4-5 hours of CET timezone)



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