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13.05.2019, Ref.#: MLE
★★★★★ Machine Learning Engineer, ФАДАТА ЕООД
Месторабота София; Постоянна работа; Пълно работно време
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Our Company

Fadata is a leading provider of software solutions for insurance companies worldwide.

Fadata is headquartered in London and has offices throughout Europe, including a development and operations centre in Sofia.

The company also has an extensive international distribution and partner network that includes EY, Charles Taylor InsureTech, EVRY, Sollers, Tieto, Infosys and Oracle.

In 2017, Fadata acquired IMPEO, the Munich-based digital insurance software firm, broadening its insurance front-office capabilities. Fadata’s shareholders include The Riverside Company, a global private equity firm, and Charles Taylor plc., the London-based global provider of insurance services.

Our Product

INSIS, our insurance process management platform, helps insurers stay competitive by connecting faster and more effectively with their customers.

Recognized as an advanced solution by analysts at Gartner and Celent, INSIS is used by insurers in over 30 countries across Europe, the Middle East, Africa and Latin America.

Machine Learning Engineer

The AI Development Department is looking for an outstanding Machine Learning Engineer, who is proficient in Machine Learning Systems to support us in building end-to-end AI capabilities of our Next Generation Insurance platform. Our work is primarily focused on topics spanning the intersection of machine learning and insurance. The current emphasis is on building statistical learning systems for real-world insurance business problems that are difficult or impossible to solve with traditional software engineering techniques. You will drive actions that scale across Fadata Group's business while working on complex problems arising from implementation projects. This is a unique, high visibility opportunity for someone to have a large business impact, dive deep into large-scale business problems and enable measurable actions on the insurance industry.


  • Participate in cutting edge research and development in machine learning applications in insurance.
  • Develop solutions for real world, large scale insurance problems.

Minimum qualifications:

  • BS degree in Computer Science or related technical field or equivalent practical experience.
  • 2 years of work or educational experience in Machine Learning.
  • 1 year of relevant work experience, including software development.
  • Experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.

Preferred qualifications:

  • MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
  • Experience with one or more of the following: Computer Vision, Natural Language Processing, Speech Recognition, Classification, Regression, Recommendation Systems or similar.
  • Experience with Big Data Systems such as Kafka, Hadoop, Spark, etc.

We offer:

  • An exciting working environment.
  • Competitive remuneration and social incentives package.
  • Development opportunities that match individual’s aspirations and motivation.

If you are interested in this role, we will be glad to hear from you.

Only short-listed candidates will be contacted.
All applications will be assessed and treated in strict confidence.

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