At a Glance
- Tasks: Design and implement AI systems for finance, deploying ML models and developing neural networks.
- Company: Profile Software, a leading FinTech company based in Athens, Greece.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and real-world impact.
- Why this job: Join a dynamic team and shape the future of finance with cutting-edge AI technology.
- Qualifications: Advanced degree, 5+ years in AI, Python skills, and experience with Spacy and TensorFlow.
The predicted salary is between 63000 - 77000 £ per year.
Profile Software is seeking an AI & Machine Learning Engineer based in Athens, Greece, to design and implement integrated AI systems for finance. You will collaborate with cross-disciplinary teams to deploy ML models, develop neural networks, and leverage OpenAI/Anthropic APIs in production environments.
The role requires:
- Advanced degrees
- 5+ years AI experience
- Python proficiency
- Hands-on work with Spacy, HuggingFace, and TensorFlow/Keras/PyTorch
- Production deployment on cloud
FinTech AI/ML Engineer — Production-Scale Solutions employer: Profile Software
Profile Software is an exceptional employer that fosters a dynamic and collaborative work culture, ideal for professionals looking to make a significant impact in the fintech sector. With a strong focus on employee growth, we offer comprehensive training and development opportunities, ensuring you can advance your career while working in a vibrant UK market. Join us to be part of a forward-thinking team that values innovation and rewards success.
StudySmarter Expert Advice🤫
We think this is how you could land FinTech AI/ML Engineer — Production-Scale Solutions
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Profile Software!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Profile Software.
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We think you need these skills to ace FinTech AI/ML Engineer — Production-Scale Solutions
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Profile Software, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Profile Software. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Profile Software
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Profile Software!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
