Data Scientist

1 week ago

Athens, Attica, Greece FINARTIX Fintech Solutions S.A. Full time €40,000 - €80,000 per year

We are currently looking for a passionate and motivated Data Scientists to join our team of ΙΤ professionals on behalf of our clients in different industries within the Greek market. The candidate will play a key role in the development, implementation, and management of technology-based solutions to improve our clients' data ecosystem and overall delivery.

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
Requirements
  • 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
Benefits
  • 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.

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