Senior ML Engineer/Data Scientist

Posted 3 Days Ago
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Athens, GRC
In-Office
Senior level
Information Technology
The Role
As a Senior ML Engineer/Data Scientist, you will develop and manage ML models for various NLP applications, collaborating in an Agile environment, and focusing on performance optimization and model deployment.
Summary Generated by Built In

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

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.
  • Competitive remuneration package.
  • Private Health Insurance.
  • Training & Development.
  • Flexible Working Environment.

Skills Required

  • BS/MS degree in Computer Science, Engineering or related field
  • Minimum of 5 years of relevant experience in Data Science or Machine Learning
  • Strong skills in Python and Python Libraries (PySpark, Numpy, Scikit-Learn)
  • Experience with large datasets (SQL/NoSQL)
  • Familiarity with cloud technologies, ideally Azure and Databricks
  • Good programming skills with problem-solving mindset
  • Communication & Time Management Skills
  • Languages required: English and Greek, both written and verbal
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The Company
HQ: Athens
75 Employees
Year Founded: 2019

What We Do

FINARTIX Fintech Solutions S.A. is a technology company that provides integrated solutions, technologies & related services to several industries within the Greek and International market and especially to the Financial Services vertical. In more than 5 years of life, FINARTIX has grown significantly and has undertaken significant individual projects and extended it footprint within the IT consulting ecosystem by engaging with major Financial Institutions & IT firms within different industries.

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