Machine Learning / AI Engineer
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#DW57980 Τύπος: Πλήρης Απασχόληση
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