Job Description
Our Customer is a leading global provider of cutting-edge payments technology solutions, dedicated to shaping the future of financial transactions worldwide. With a commitment to innovation and excellence, we connect consumers, businesses, financial institutions, and governments in over 200 countries and territories through our advanced processing networks.
We are currently looking for experienced Machine Learning Engineer familiar with Java, Python, Scala and GO programming languages to join the dynamic team of developers in order to strengthen the team capabilities in the are of BIG Data and Machine learning areas.
This is a hybrid work opportunity, requiring attendance at the customer's office in Warsaw twice a week for team relationship-building purposes.
Due to the nature of our work in the financial market, candidates will be subject to detailed background screening including education, employment history, and criminal record.
Qualifications
Basic Qualifications:
- 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
Preferred Qualifications:
- 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD in Computer Science/Computer Engineering or related field. Experience programming in at least one or more in Java, Python, Scala and Go
- Strong understanding of algorithms and data structures.
- Experience in leading, building and supporting scalable and reliable data solutions, AI/machine learning powered systems that can enable fast prototyping and advanced analytics using modern big data and ML/AI technologies (Hadoop, Spark, Cloud, No-SQL, TensorFlow, H2O etc.) in an agile manner.
- Hands-on experience developing and maintaining machine learning lifecycle: data preprocessing and feature extraction, model training and evaluation, and deployment and monitoring.
- Hands-on experience and/or academic background partnering with data scientists and can speak knowledgeably about the major machine learning paradigms, algorithms, and software tools.
- Hands-on experience and/or academic background translating data science problem statements into corresponding data, infrastructure, or workflow needs.
- Familiarity with the associated open-source ecosystem (e.g., mlflow, cortex, seldon, Kubeflow, tfx) is a plus.
- Knowledge and experience working with Frond-end web application frameworks (Angular/React) along with HTML, CSS, JavaScript is a plus.
- Knowledge and experience working with REST/JSON-RPC services, SQL, and NoSQL database is a plus.
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