Machine Learning (ML) Engineer

Nicosia, Cyprus


information-technology

Machine Learning (ML) Engineer

Nicosia, Cyprus

A global tech firm specializing in banking systems utilizing AI is joining us in Cyprus with an additional team and office, we are looking for Machine Learning Engineers to join this new venture.                                                                                                                        

 

Job Description

  • You will be responsible for leveraging and advancing existing machine learning systems
  • You will lead the design, prototyping and productization of machine learning-based features
  • You will responsible for introducing other developers to machine learning projects

Qualifications

  • Proven experience with developing machine learning systems in a professional or academic environment
  • 5+ years of experience working with data engineering and warehouses and big data applications
  • Proficiency in Python, data models and architectures
  • Expertise in C/C# and .net applications
  • Experience with relational and distributed database systems and streaming systems
  • Familiarity with data extraction across different database architectures
  • Understanding of the mathematical foundations of machine learning algorithms
  • The ability and desire to identify and deploy novel solutions to business problems
  • Ability to work with a diverse team in a fast-paced environment

Benefits

  • Long term challenging job
  • Creative work, Agile methodology, banking projects
  • Very competitive salary and additional benefits and perks (laptop, mobile, bonus scheme, and more)
  • Flexible start and finish times and ability to work remotely
  • holidays and vacation time
  • career opportunity with professional growth and development
  • Friendly team with an excellent team spirit

 

HR Innovate is an equal opportunity Recruiting Agency and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. We are committed to protecting your personal data.


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