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Senior AI Engineer

  • Athens

  • Up to €4000 per month

Machine Learning Engineer | Athens - PS

We are partnering with a leading international fin-tech technology provider that develops advanced software solutions for banking and investment management institutions worldwide. With a strong global presence and a reputation for innovation, the company is expanding its AI capabilities and looking for a talented AI & Machine Learning Engineer to join their growing team in Athens.

The candidate will play a key role in designing, building, and optimizing machine learning systems that power next-generation financial technology platforms. Working alongside experienced engineers and data scientists, they will develop intelligent applications and contribute to cutting-edge AI solutions used by financial organizations around the world.

💻𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

  • Design, develop, and implement machine learning and AI algorithms for production environments
  • Build, train, evaluate, and optimize machine learning models using large and complex datasets
  • Work on projects related to Natural Language Processing (NLP), neural networks, and deep learning
  • Develop and implement text-to-SQL solutions and intelligent data-processing pipelines
  • Conduct statistical analysis, experimentation, and model fine-tuning to improve system performance
  • Collaborate with software engineers, data engineers, and product teams to deploy scalable AI solutions
  • Contribute to the architecture and design of self-learning and automated AI systems
  • Stay up to date with emerging AI, machine learning, and data science technologies

🔧𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀

  • 5+ years of experience developing and deploying machine learning models in production environments
  • Strong programming experience with Python
  • Working knowledge of C++
  • Experience with SQL and relational databases for data manipulation and querying
  • Hands-on experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
  • Experience working with NLP frameworks and tools such as SpaCy or HuggingFace
  • Familiarity with OpenAI APIs or other commercial AI platforms
  • Experience with model training, evaluation, hyper-parameter tuning, and performance optimization
  • Understanding of data preprocessing, feature engineering, and model validation techniques

🎓 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 & 𝗧𝗵𝗲𝗼𝗿𝗲𝘁𝗶𝗰𝗮𝗹 𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱

  • Bachelor's degree in Mathematics, Physics, Computer Science, or a related quantitative field
  • Master's degree in Machine Learning, Applied Mathematics, Engineering Mathematics, Optimization, or Computational Sciences will be considered a plus
  • Strong theoretical foundation in Linear Algebra, Calculus, Probability Theory, Statistical Analysis will be considered a plus
  • Knowledge of information theory, dynamical systems, or complexity analysis is considered an advantage
  • Analytical mindset with a passion for solving complex problems

🎁𝗪𝗵𝗮𝘁'𝘀 𝗼𝗻 𝗢𝗳𝗳𝗲𝗿

  • Competitive salary with performance-based incentives
  • Private medical and life insurance
  • Meal vouchers
  • Continuous learning and development in the FinTech & AI space
  • Exposure to international teams and global projects
  • Inclusive, collaborative, and technology-driven culture

📍Location: Nea Smyrni (4 days in office, 1 at home)

If you're passionate about AI innovation and building intelligent systems used in global financial markets, we'd love to hear from you.

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