Senior Machine Learning Engineer with Java

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.
Additional Information_

What can you expect from us?

  • We Learn by doing; you will collaborate with industry experts willing to share their knowledge, passion and experience.

  • We invest in improving your skills by participating in training and mentoring programs.

  • You can advance your career with us by choosing from different career paths (technical, management).

  • We’ll help to broaden your horizons by working in an open and supportive multicultural environment.

  • Commercial projects from the domain.

  • Great atmosphere and supportive environment.

  • You will work in a friendly, relaxed atmosphere created by many bonding events and activities.
     

What do we offer?

  • Competitive salary adequate to your skills and performance.

  • Flexible working hours.

  • Training programs.

  • Private medical insurance.

  • Multisport program.

  • English lessons.

  • Company social events.

  • Relocation assistance.
     

Diversity and Inclusion Statement

We aim to recruit, develop and retain the most talented people we can find from various backgrounds and cultures. Inclusivity and equality are cornerstones of our Mobica community and a big part of what makes us so brilliant to work with. Here, dedication and performance are valued and rewarded regardless of nationality, gender, age, religious beliefs or other personal characteristics. Here, diversity is celebrated, and everyone belongs.
 

“The benefits of having a diverse workforce from different backgrounds, recruited and developed only on the basis of ability, is a core personal belief for me - so I join with other members of Mobica’s leadership in promoting a commitment to recognise equal opportunities and rights for our talented individuals. Every Mobican can expect to be treated with dignity and respect regardless of personal characteristics or beliefs.”
 

Gary Butters
CEO

Job Reference: ref792h

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