Machine Learning Engineer I

• Developers

• UX specialists

• Product managers

• ML Engineer

• Senior ML Engineer

Communication.Type

• Cooperation - To explain requirements and enable proper interaction of ML/AI product with other systems

• Cooperation - To explain requirements and enable proper interaction of ML/AI product with frontend systems

• Cooperation - To co-define product requirements and maintain on-track development

• Cooperation - To receive guidance for production viability in early stages and to ensure ongoing alignment of engineering work in later stages to the original product intent

• Information - To receive guidance on alignment with broader ML/AI strategy and receive guidance and mentorship

Communication.Frequency

• Frequent

• Occasional

• Frequent

• Frequent

• Occasional

Level of Education.Level of Education

• Bachelor degree

Years of relevant Job Knowledge.Years of relevant Job Knowledge

• Basic Job Knowledge (1 - 3 years)

Requirements of special knowledge/skills

• Experience in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, scaling ML models, etc]

• 2+ years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems, preferably in a commercial environment.

• BsC or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields.

• Knowledge of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.

• Experience with data-driven product development: analytics, A/B testing, etc.

• Working experience in one or more general purpose programming languages, including but not limited to: Java, Python or Perl.

• Knowledge of version control systems

• Excellent English communication skills, both written and verbal.

• Click here for the full CF..https://docs.google.com/document/d/1mVPQYVg2gWKjoeBO-VOgh3jV-eiXnUHaR3_uE5woRGA/edit#

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.