ML Engineer/Data Scientist developing technology-based solutions for clients in Greece's diverse industry sectors. Collaborating with teams to implement and optimize machine learning models and data ecosystems.
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
Requirements
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.
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