Description

Join the company’s growing team and take part in our expansion in Switzerland and internationally. As a Machine Learning Engineer, you will be working on a variety of applied research projects using state-of-the-art Machine learning techniques and you will help deploy them for people to leverage their outputs. You are passionate about understanding the business context for features built to drive better customer experience and adoption. Finally, you are meticulously organized and prepared to work in a fast-paced and dynamic team environment.

What we offer

• A yearly education budget to steep your learning curve
• A yearly sport budget because a fit body leads to a fit mind
• A position that enables you to have an impact on 1’000s of people
• An international, knowledgeable, and passionate team with a strong collaborative mindset
• Opportunity to join a talented and experienced company with proven traction in its journey
• An open and transparent culture

Votre profil

• Data enthusiast, you are not scared to dive in and to ask the right questions
• Resourceful & critical thinking
• Collaborative and team-oriented spirit
• Impeccable attention to details and drive to excel
• Fast learner and have a problem-solving attitude, the projects you will work on are not textbook cases, you will need to be imaginative to bring the best solutions
• With strong communication skills, you will most likely have to present your results to non-technical people
• You have a growth mindset, always on the lookout on what you can improve, rationalize and consolidate
• You are willing to always go the extra mile and never compromise on quality
• Proactive attitude, not hesitating to act and take on responsibilities
• Organizational skills and capacity to adapt in an ever-evolving startup environment

In addition, this should be part of your background to apply

• Proficiency in Python programming
• Experience with ML/DL libraries and frameworks (es. Scikit-learn, TensorFlow, Keras, Pytorch)
• Experience with various visualization frameworks (es. Matplotlib, Seaborn, Bokeh, Power BI, Tableau, D3.js, etc.)
• Experience in applying deep learning approaches, such as recurrent neural networks and deep convolution networks
• Strong knowledge of clustering algorithms, regression and classification(supervised/unsupervised/reinforcement learning)
• Understanding of Unix/Linux operating systems
• Familiarity with REST API and microservices

The following are a plus:

• Experience with Data and AI platforms (Databricks, Dataiku, Snowflake) or have one of their Data Engineer certifications.
• Familiarity with web development

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