About the role

Data Scientist developing technology-based solutions for clients in Greece. Collaborating with a team to enhance clients' data ecosystems and business strategies.

Responsibilities

Participate in full software development lifecycle implementing, testing and maintaining custom data solutions
Select appropriate methods for collecting and analyzing data, and develop informed recommendations that shape or support the client’s business strategy
Design, develop, and deploy machine learning models, with a strong emphasis on LLMs for diverse NLP applications.
Lead the fine-tuning of pre-trained LLMs for specific downstream tasks, optimizing for performance and domain relevance.
Implement and explore model quantization techniques to reduce model size and inference latency, enabling efficient deployment on various hardware.
Develop and optimize ML models for NLP tasks using the Hugging Face Transformers library (e.g., text classification, named entity recognition, sentiment analysis, summarization).
Conduct thorough experimentation and evaluation of model performance, ensuring robustness and accuracy.
Collaborate with data scientists and software engineers to integrate ML models into production systems and MLOps pipelines.
Act as a technical consultant for the client
Work as a key member of an Agile Team

BS/MS degree in Computer Science, Engineering or related field (mandatory)
Minimum of 3 years of relevant experience on Data Science or Machine Learning roles using Python and Python Libraries (PySpark, Numpy, Scikit-Learn etc.)
Strong skills working with algorithms, computational complexity, statistics and ML/AI techniques
Experience in working with large datasets (SQL/NoSQL)
Strong practical experience with Large Language Models (LLMs), including their architecture, training, and inference.
Proven experience in fine-tuning LLMs for specific tasks and datasets.
Hands-on experience with model optimization techniques such as quantization, pruning, and distillation.
Proficiency with the Hugging Face Transformers library and its ecosystem for developing NLP models.
Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.
Experience with MLOps practices, including model versioning, deployment, and monitoring.
Familiarity with cloud platforms (e.g., AWS, Azure, preferably GCP) for ML model deployment.
Very Good Testing & Quality Assurance skills
Able to work independently and as part of a group
Analytical thinking & Problem-Solving Attitude
Knowledge of Microsoft Office
Languages required: English and Greek, both written and verbal.

Professional development through participation in challenging, business projects in different industries.
Working in a dynamic and fast-growing banking Technology Company with recognized partners.
Opportunity to work in a diverse environment with talented colleagues.
Competitive remuneration package.
Private Health Insurance.
Training & Development.
Laptop.
Flexible Working Environment.