NLP Machine Learning Engineer

Brussels - Belgium

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Design implement and optimise advanced AI NLP and ML models. Use LLMs RAG frameworks and other state-of-the-art approaches.
Create methods for tokenisation part-of-speech tagging named entity recognition classification clustering and other text mining-related tasks.
Fine-tune pre-trained models on domain-specific tasks.
Conduct thorough research and stay updated on the latest trends and advancements in NLP ML and AI technologies.
Develop and maintain robust scalable and efficient code using Python.
Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
Perform rigorous analysis and experimentation to improve model accuracy efficiency and scalability.
Participate in peer reviews and contribute to the continuous improvement of AI solutions.
Contribute to the design and implementation of ML application architecture and its solution stack.
Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders.

What do you need to succeed in this position

Master 13 years of relevant experience

Experience in Machine Learning and Natural Language Processing.
Excellent knowledge of Python and libraries (e.g. Pandas SpaCy NLTK Hugging Face).
Experience with deep learning frameworks for complex model architecture such as TensorFlow or PyTorch.
Experience with AI-powered code assistants (e.g. Amazon Q Github Copilot) staying updated with advancements in AI-driven code technologies.
Good knowledge of SQL tooling (Oracle PostgreSQL).
Knowledge of NoSQL databases (Elasticsearch MongoDB).
Knowledge of architectural design of scalable ML solutions such as model servers GPU resource optimisation.
Experience with A/B testing and experimental design of ML models.
Experience with pre-trained models and LLMs like GPT and other Transformer-based architectures.
Experience with tools like Matplotlib and Seaborn for creating data visualizations.
Strong understanding of linguistics and text processing techniques.
Proficient in continuous code delivery and unit testing.
Understanding of bias in ML applications and bias mitigation techniques.
Knowledge in one of the following areas: predictive (forecasting recommendation) prescriptive (simulation) topic detection plagiarism detection trends/anomalies detection in datasets recommendation systems.
Proficiency in understanding and applying statistical concepts and models.
Ability to formulate problems and develop solutions using data-driven approaches.
Effectively communicating complex data insights to non-technical stakeholders.
Ability to write clear and well-structured documentation
Good communication skills in English both orally and in written form.

Design implement and optimise advanced AI NLP and ML models. Use LLMs RAG frameworks and other state-of-the-art approaches. Create methods for tokenisation part-of-speech tagging named entity recognition classification clustering and other text mining-related tasks. Fine-tune pre-trained models on ...

Design implement and optimise advanced AI NLP and ML models. Use LLMs RAG frameworks and other state-of-the-art approaches.
Create methods for tokenisation part-of-speech tagging named entity recognition classification clustering and other text mining-related tasks.
Fine-tune pre-trained models on domain-specific tasks.
Conduct thorough research and stay updated on the latest trends and advancements in NLP ML and AI technologies.
Develop and maintain robust scalable and efficient code using Python.
Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
Perform rigorous analysis and experimentation to improve model accuracy efficiency and scalability.
Participate in peer reviews and contribute to the continuous improvement of AI solutions.
Contribute to the design and implementation of ML application architecture and its solution stack.
Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders.

What do you need to succeed in this position

Master 13 years of relevant experience

Experience in Machine Learning and Natural Language Processing.
Excellent knowledge of Python and libraries (e.g. Pandas SpaCy NLTK Hugging Face).
Experience with deep learning frameworks for complex model architecture such as TensorFlow or PyTorch.
Experience with AI-powered code assistants (e.g. Amazon Q Github Copilot) staying updated with advancements in AI-driven code technologies.
Good knowledge of SQL tooling (Oracle PostgreSQL).
Knowledge of NoSQL databases (Elasticsearch MongoDB).
Knowledge of architectural design of scalable ML solutions such as model servers GPU resource optimisation.
Experience with A/B testing and experimental design of ML models.
Experience with pre-trained models and LLMs like GPT and other Transformer-based architectures.
Experience with tools like Matplotlib and Seaborn for creating data visualizations.
Strong understanding of linguistics and text processing techniques.
Proficient in continuous code delivery and unit testing.
Understanding of bias in ML applications and bias mitigation techniques.
Knowledge in one of the following areas: predictive (forecasting recommendation) prescriptive (simulation) topic detection plagiarism detection trends/anomalies detection in datasets recommendation systems.
Proficiency in understanding and applying statistical concepts and models.
Ability to formulate problems and develop solutions using data-driven approaches.
Effectively communicating complex data insights to non-technical stakeholders.
Ability to write clear and well-structured documentation
Good communication skills in English both orally and in written form.

Key Skills

Industrial Maintenance
Machining
Mechanical Knowledge
CNC
Precision Measuring Instruments
Schematics
Maintenance
Hydraulics
Plastics Injection Molding
Programmable Logic Controllers
Manufacturing
Troubleshooting

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About Company

Sansaone

30 employees

Welcome to Sansaone, a dynamic force in the realm of ICT talent acquisition. Born out of a passion for excellence and a vision for connecting outstanding professionals with forward-thinking organizations, we stand as a beacon for strategic recruitment solutions in the Information and ... View more

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