AI & Machine Learning Engineer
At a glance
Mid-level Machine Learning Engineering role at Profile Software. Nea Smyrni.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop AI tools for live use, applying current technologies to deliver them at production scale
- Use open-source and commercial large language models to tackle complex tasks
- Run prompt experiments and refine techniques to improve model performance
- Design neural networks and adjust them for different applications
- Build intelligent tools with OpenAI and Anthropic APIs, while tracking field developments
What you bring
- At least five years of professional experience in AI
- A bachelor's degree in computer science, mathematics, physics or a related discipline
- Strong Python programming and software engineering skills
- A record of taking machine-learning models and applications into production
Who this fits
This onsite role in Nea Smyrni, Greece suits a mid-level engineer with AI experience and strong software skills. You’ll collaborate with teams across disciplines; finance-sector experience is an advantage.
From the employer
Job Summary:
The AI & Machine Learning Engineer, based in Athens, Greece, is responsible for designing and developing integrated AI systems, implementing ML algorithms, conducting experiments, and staying updated with the latest developments in the field. Your will collaborate with interdisciplinary teams to build efficient applications at the intersection of AI and Finance.
What You Will Do:
· Develop and deploy AI solutions at production scale, leveraging state-of-the-art technologies.
· Work with large language models (LLMs), both closed and open-source, to solve complex problems.
· Experiment with and refine prompt engineering techniques to improve model performance.
· Design and optimize neural networks for various applications.
· Utilize OpenAI and Anthropic APIs to build and enhance intelligent solutions.
· Keep abreast of developments in the field.
Requirements
What You Will Bring:
· Bachelor's degree in Computer Science, Mathematics, Physics, or related fields.
· Master's degree in AI, Machine Learning, NLP, or related fields.
· 5+ years proven AI experience
· Strong software engineering background.
· Strong programming skills in Python.
· Experience with Spacy, HuggingFace, TensorFlow/Keras/PyTorch.
· Proven experience with prompt engineering.
· Proven track record of developing and deploying machine learning models and applications in production.
· Knowledge and experience with OpenAI/Anthropic APIs and other commercial AI products.
· Basic experience of building and deploying services on cloud computing providers such as AWS or Azure.
· Strong collaboration and communication skills to work within inter-disciplinary teams.
· Prior experience in the Financial sector is a strong advantage
Benefits
What We Offer:
· Competitive and performance-based remuneration.
· Meal Vouchers.
· Medical & Life Insurance Plan.
· New experiences within a multinational environment and global teams.
· Team spirit environment with passion for technology.
· Development opportunities within a market-leading, fast-growing organization!
If you want to be part of one of the top leading software firms in the FinTech industry internationally, we want to hear from you!
We are an equal opportunities employer. All applications will be treated with strict confidentiality. By submitting your CV, you accept the content of our Privacy Policy, and consent to the processing of your data as part of this application.
About Profile:
Founded in 1990, Profile Software is a leading international software solutions provider for the Banking and Investment Management industries, with global offices in key financial centers and presence in 50 countries across 4 continents, as well as a listed company in Athens Stock Exchange.
Thanks to our passionate, highly aspirated and tech savvy people, we deliver innovative, agile, and award-winning solutions to the biggest FinTech institutions, always aiming to develop on cutting-edge technologies (mobile, cloud, AI), offering various deployment methods (BPO, SaaS) and competitive functionality.