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Machine Learning Engineer

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Job position

Machine Learning Engineer





Scope of duties

In Cyclad we work with the best international IT companies to increase their potential in providing unique, cutting-edge technologies that shape the world of the future. We are currently expanding teams which work on innovative financial crime and compliance solutions. We are looking for Machine Learning Engineer who will be a part of the Financial Services Product Engineering group that builds products and solutions enabling Financial Institutions to detect and respond to Financial Crime activity found in their data in a scalable and comprehensive way. 
Job specification:
  • Industry: Cyber Security, Financial Crime, Communications Intelligence, and Digital Transformation
  • Type of project: develop and support Advanced Analytics Platform
  • Location: Poznań
  • Remote work: 4 days/month, after trial period; currently 100% remote work
  • Project language: English/Polish
  • Team: mostly in Poznań and UK working in SCRUM
  • Assignment start: ASAP
Project scope:
  • Extend and support Advanced Analytics Platform and grow data science and software development skills
  • Learn the Financial Services Fraud and Compliance domains and gain a deep understanding of the problems that Financial Institutions need solving
  • Work within the Advanced Analytics Platform development team to build new capability into AAP to our high-quality standards
  • Support and resolve product issues and defects
  • Grow understanding of data science and its application to solving real world problems
  • Build software development skills to support AAP and analytical methods, such as Python, Java
  • Learn the software development lifecycle from a product perspective
  • Support internal teams in using AAP to deliver benefits to clients
  • Join and contribute to our professional communities

Basic requirments

Competence demands:
  • Bachelor's degree or higher in Computer Science or Mathematics related field
  • Experience of software development lifecycle
  • Specific languages Java, Python, R or statistical tools e.g. SAS
  • Experience working with Spark and big data
  • Experience working in a scrum team
  • Knowledge of data science relevant for Advanced Analytics Platform (Classification, Unsupervised, working with unknowns and highly imbalanced data)
  • Experience working on data science projects
  • Interest in data science and machine learning
  • Excellent problem-solving skills
  • Fluent English

We offer

We offer:
  • Stable long-term cooperation based on employment contract
  • Challenging work in a dynamic international environment and great potential for development
  • Cooperation and possibility to exchange knowledge with a team of professionals from a global consulting company
  • Rich package of benefits including private medical care, life insurance, Multisport card, lunch voucher
  • Participation in numerous interesting events
  • High career advancement opportunities
  • Flexible working hours