Senior ML Engineer/Data Scientist at FINARTIX Fintech Solutions S.A.
Athens, Attica, Greece -
Full Time


Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, PySpark, Numpy, Scikit-Learn, LLMs, NLP, Azure, Databricks, Airflow, SQL, NoSQL, MLOps, Agile, Testing, Quality Assurance, Communication

Industry

IT Services and IT Consulting

Description
We are currently looking for a passionate and motivated ML Engineers/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 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 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 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.
Responsibilities
The role involves participating in the full software development lifecycle for custom data solutions and leading the design, development, and deployment of machine learning models, with a strong focus on LLMs for various NLP applications. Key tasks include fine-tuning LLMs, implementing quantization techniques, and ensuring robust model evaluation.
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