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Senior AI/Machine Learning Scientist
3 months ago
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
ResponsibilitiesnAbout the jobnAs 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.nKey ResponsibilitiesnResearch, design, and implement machine learning models to solve business challenges.nWork closely with software developers to integrate machine learning models into production systems.nStay abreast of the latest developments in AI and machine learning research to inform project strategies.nProvide expertise and guidance on machine learning best practices to the broader team.nContribute to the development and maintenance of a scalable and robust AI infrastructure.
QualificationsnRequirements:
nPh.
D.
degree in Computer Science, Data Science, Machine Learning, or a related field.nExperience in AI/Machine Learning research and development.nProficiency in Python.nExperience with popular machine learning frameworks (TensorFlow, PyTorch, scikit-learn).nExperience with using NVIDIA GPUs for fine tuning AI modelsnStrong mathematical and statistical background.nExcellent problem-solving and critical-thinking skills.nPreferred QualificationsnExperience with deep learning techniques and architectures.nFamiliarity with natural language processing (NLP) and Large Language Models (LLMs).nKnowledge of distributed computing and cloud platforms (AWS, Azure, or Google Cloud).nResearch experience in Graph Neural Networks would be a plus.nStrong publication record in relevant conferences or journals.
nBenefits (Remote must be within 4-5 hours of CET timezone)