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Machine Learning Engineer
My name is Christina, I am a Machine Learning Engineer based in Greece with a strong academic background in Data Science, Machine Learning, and Electrical & Computer Engineering. I studied at the National Technical University of Athens and the Technical University of Crete. Currently, I work at Athens Technology Center, where I design and deploy AI systems using Large Language Models (LLMs) and generative AI. My work focuses on solving real-world problems across sectors like fintech, media, and public services.
Meet the professional
As a Machine Learning Engineer, I develop intelligent systems that can learn from data and make predictions or decisions. My work is deeply rooted in STEM, combining computer science, mathematics, and data analysis. I use tools such as Python, PyTorch, Spark, and Hadoop to build and deploy scalable AI models that support decision-making in sectors like finance, telecommunications, and public services.
My curiosity about how machines can mimic human intelligence and solve complex problems led me to this field. Participating in competitions like the Google Hash Code and European BEST Engineering Competition further fueled my interest in real-world data challenges and innovative solutions.
Skills
Management skills
"To lead teams efficiently, drive projects forward, and create a productive work environment."
Communication skills
"It is important to express ideas clearly and build professional relationships."
Personal and Social Skills
"Developing personal and social skills will help you to adapt to challenges and connect with others authentically."
Business skills
"Strengthening business skills is important to make informed decisions, drive innovation and contribute to long-term success."
Advice to take away
Be curious, explore different areas of STEM, and don’t be afraid of challenges. Build projects, participate in hackathons, and learn how to work with data. Focus on developing both technical and communication skills.
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Disclaimer
This Career sheet has been provided by means of the SD2 project. DS2 has received funding from the EU Horizon Europe Research and Innovation programme CL4-2023-DATA-01 under grant agreement No.101135967, and by UK Research and Innovation under the UK government. Scientix® is an initiative of European Schoolnet®.