Responsibilities
- Participate in full software development lifecycle implementing, testing and maintaining custom data solutions
- 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.
- 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
Basic qualifications
- BS/MS degree in Computer Science, Engineering or related field (mandatory)
- Minimum of 5 years of relevant experience on Data Science or Machine Learning roles using Python and Python Libraries (PySpark, Numpy, Scikit-Learn etc.) & LLM domains
- Strong skills working with algorithms, computational complexity, statistics and ML/AI techniques
- Experience in working with large datasets (SQL/NoSQL)
- Familiarity with cloud technologies, ideally the Azure environment and Databricks
- Experience on Airflow will be considered as a plus
- Understanding of software applications' fundamental principles, communication methods, and their impact on users’ experience
- Very Good Testing & Quality Assurance skills
- Good programming skills with a mindset of solving hard problems efficiently with creativity
- Communication & Time Management 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, real business projects in different industries.
- Working in a dynamic and fast-growing Technology Company with recognized partners.
- Opportunity to work in a diverse environment with talented colleagues.
- Competitive remuneration package.
- Private Health Insurance.
- Training & Development.
- Flexible Working Environment.
Tags & focus areas
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