We are looking for a professional Machine Learning/AI Engineer for a well-established Fintech Company in Limassol.

Our client empowers banks with AI and big data technology to help them profitably underwrite credit applications. They've developed a market-proven Cashflow underwriting SAAS platform that utilizes machine learning models and AI to assess a customer’s credit risk. Their team harnesses years of experience in big-data analytics, algorithm design, credit underwriting and automation deployment to deliver cutting edge capabilities in the online banking space.

They are looking for a self-motivated, proactive and driven person to harness the latest tools to produce industry-leading machine learning solutions.

What is in it for you:

• Exciting project involving the latest technology/products in Fin-Tech & online banking.
• Working with cutting-edge technologies and libraries.
• Competitive salary.
• Opportunity to expand your skills on the job (we encourage paid learning programs for company personnel)
• Flexible hours, cozy office in the city center.
• Medical insurance.
• Paid sick leave and vacation days.
• Team building events and corporate parties.
• Be a part of a strong international team.

Your main responsibilities:

• Understanding business objectives and developing models that help to achieve them.
• Analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• Exploring and visualizing data to gain an understanding of it, identifying differences in data distribution that could affect performance while deploying in live environments.
• Validating data quality, and/or ensuring validity via data cleaning.
• Finding available datasets online that could be used for training.
• Training models and tuning their hyperparameters.
• Analyzing model errors and designing strategies to overcome them.
• Deploying and monitoring models in the production environment.
• Documenting models and machine learning processes.
• Defining data validation strategies and data augmentation pipeline.
• Using data mining to extract data sets and identify correlations and patterns.
• Organizing and transforming information into comprehensible structures.
• Using data to predict customer base trends.
• Performing statistical analysis of data.
• Managing available resources such as hardware, cloud databases etc., and Identifying ways to save money by streamlining business processes and IT resources.

What they expect from you:

• At least 2-year work experience in a similar position.
• Experience in supervised learning and unsupervised learning methods.
• Experience with Tensorflow, SQL, Python, Jupyter Notebook.
• Experience with Cloud Platforms and their ML/AI services (AWS, GCP, Azure) a big plus.
• Experience with feature extraction using statistical approaches and linear/non-linear classification methods.
• Experience deploying models to production and developing models in a reproducible framework.
• Strong analytical skills, ability to dive into domain subjects and provide recommendations.
• Work comfortably in a context-switching environment
• Upper-Intermediate+ English Level required.

Please send your CV to julian@d-way.com