Machine Learning Engineer

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Our client was established in 2006 with one goal, to become the trusted partner in Information Management for all companies and organizations across Greece. The new digital era indicates that information in any form, and data captured either from physical or digital documents, has become one of the most valuable assets for all organizations. The concepts Digital Transformation, Intelligent Document Processing along with GDPR and Information Security have been embedded in our core values by providing to all clients trust that their assets are handled by industry experts.

As a Machine Learning Engineer at, you will play a pivotal role in developing and implementing cutting-edge ML/DL models and algorithms, primarily focusing on solving complex problems in the NLP domain.

Responsibilities:

• Design, develop, and optimize deep learning models using transformers for NLP applications
• Collaborate with business teams to understand project requirements and propose innovative solutions.
• Stay up to date with the latest advancements in deep learning and NLP through continuous research.
• Train, evaluate, and fine-tune machine learning models using Python, TensorFlow, and Hugging Face Transformers library.
• Utilize Docker to create reproducible and scalable machine learning pipelines.
• Work in JupyterLab to prototype and experiment with different algorithms and techniques.
• Implement best practices for data preprocessing, feature engineering, and model evaluation.
• Create detailed reports to communicate findings effectively.

Qualifications:

• Strong proficiency in Python and its libraries for machine learning and data manipulation
• Experience with TensorFlow and Hugging Face Transformers library.
• Proficiency in using Docker for containerization and deployment of machine learning models
• Familiarity with Jupyter Notebooks.
• Solid understanding of deep learning concepts and algorithms, particularly in the transformers ecosystem.
• Excellent database knowledge in both SQL and NoSQL DBs.
• Strong problem-solving skills and ability to tackle complex NLP challenges.
• Excellent communication skills and the ability to work effectively in a collaborative environment.

Bonus Skills

• Model Quantization.
• Golang programming.
• Vector DBs.