Do you want to join a fast-growing technology company that is changing the status quo with Artificial Intelligence? Are you up to the challenge of guiding the executives of the world’s best brands through their AI adoption journey and deliver value at every level of these organizations? Are you someone who strives for excellence?
Then don't hesitate to get in touch with us and secure yourself a front seat into the future!
Your mission will be to accelerate our growth in Switzerland and internationally. You will be working alongside best-in-class ML engineers as well as business profiles who demonstrated extraordinary passion and achievements.
We are a consulting company in the field of Machine Learning. Our clients are some of the largest Swiss companies, and we help them accelerate their Machine Learning adoption by identifying their highest-value opportunities, developing tailored ML solutions and organizing educational workshops. We have completed projects in the Sports, Real Estate, Marketing, Robotics, Watchmaking, eCommerce, Energy, Retail, Fiduciary, Security, Healthcare, Food & Beverages, Pharmaceutical, Manufacturing, Insurance, and Financial industries. We develop state-of-the solutions in Computer Vision, Natural Language Processing, Time Series Modeling, Generative Models, Sound Signal Processing, Anomaly Detection, Predictive and Prescriptive Analytics, and more. We believe in the power of AI for good and do one philanthropic project every ten client projects: as an example, we are currently working with a major Swiss hospital in the field of neuroimaging.
We are looking for our next Machine Learning Engineer to join our team in Lausanne or Zürich.
Take part in some of our most exciting projects and start having an impact today!
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.
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 web development is a plus
Familiarity with REST API and microservices
Strong ability to understand and communicate technical concepts clearly and effectively
Fast learning & resourceful skills
Critical thinking skills
Be collaborative and team-oriented
Focus on quality rather than quantity
Ability to cope with change in a fast-paced, deadline-driven environment
If the idea of working as a Machine Learning Engineer and honing your skills in multiple areas is attractive to you, - Place at the end of your motivation letter the secret word “Rocket” to confirm you read the whole job description. - don't wait for another second and apply right now!
We are looking forward to meeting you personally!