8 de Maio de 2023

Machine Learning Engineer / Data Science Engineer (m/f)

ZABAS Factory

  • Contrato Contrato sem termo
  • Horário Full-time
  • Remoto Permite trabalho remoto
  • Salário €52 000

We are an agile company that has been successful in the market for 20 years. Global Side GmbH, in Munich (Germany), is an IT service provider specialising in insurances that is strongly anchored in private health insurance and focuses on sustainable customer benefits. We support insurance companies in the digitalisation of their medical billing and drive innovation in the industry. For our product ZABAS, we are looking for you in our Portuguese branch as a

Machine Learning Engineer / Data Science Engineer (all Genders)

The Role:

  • Develop, implement, and optimize machine learning and data science models to address business challenges.
  • Collaborate with data engineers and software developers to integrate data-driven solutions into our technology platform.
  • Apply modern methods of machine learning, artificial intelligence, and data analysis to make data-driven decisions and develop innovative solutions.
  • Actively participate in defining requirements and objectives for data-driven projects.
  • Identify areas for improvement in existing processes and algorithms.
  • Document and present results to stakeholders and team members.

Your professional skills: 

Dealing with your colleagues in a respectful way is important to you, as well as possessing a system of values. However, you're not lacking a good sense of humour to keep the team spirit up!

  • Proficiency of AWS, docker and proven track record of using it professionally
  • A Bachelor's or master’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.
  • At least 3 years of experience in developing and implementing machine learning and data science models.
  • Experience with programming languages such as Python, R, Java, or Scala and data analysis tools such as TensorFlow, Keras, PyTorch, or Scikit-Learn.
  • Knowledge of processing and analyzing large volumes of data, experience with big data technologies such as Hadoop, Spark, or Hive is a plus.
  • Experience working with relational and NoSQL databases.
  • Strong analytical and problem-solving skills, as well as the ability to communicate complex concepts.
  • Fluent in English, German language skills are a plus.

Our technologies:

  • Java, React, Spring, Sonar, Gitalb, SAFe

Benefits we are happy to offer you:

  • Full remote or office in Lisbon: Work wherever you want
  • 30 vacation days per year: Extraordinary six weeks off per year
  • Meal allowance: pre-paid credit cards for all your meals
  • Private health insurance: Multicare3
  • Private accident insurance: Covers all accidents, business and private
  • Personalised onboarding program: Both in Lisbon and Munich HQ
  • Personalised training budget: For your professional growth

We have an open and welcoming culture in which strengths are in the foreground because jobs in which you can grow are based on your strengths and are jobs that are fun. You have the freedom of a start-up and at the same time we have been benefiting from established expertise and a steadily growing customer base since 2002. We believe that your own creative freedom leads to the best results.

In addition, we offer you a respectful working environment, varied projects, a workplace that is easy to reach by public transport, flexible working hours, a salary in line with the market, and a familiar atmosphere.

We are looking forward to receiving your CV: <endereço ocultado>

web: (https://commoncrawl.org/faq/):2023-05-29 15:45:27