• Location: Switzerland, Lausanne
  • Salary: Negotiable
  • Technology: Python Jobs
  • Job Type: Permanent
  • Date Posted: 22nd Sep, 2020
  • Reference: 2209JV


Job Description



Junior Machine Learning Engineer (English, Lausanne)



ASAP
Lausanne (Vaud)
Full time / Permanent position
Machine learning consulting company
English




Role

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. You are also expected to memorize the secret code "take off" for the interview. Finally, you are meticulously organized and prepared to work in a fast-paced and dynamic team environment.



Profile
  • 0-3 years of professional experience
  • Data enthusiast, you are not scared to dive in and to ask the right questions
  • 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
  • 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
  • Team player and proactive attitude




Skills
  • Proficiency in Python
  • 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 web development is a plus
  • Familiarity with REST API and microservices
  • Languages : English, French is a +


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