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.
