Position
Application Engineer
Job Description
Arrow Electronics is the global leading company in electronic distribution and was ranked 110 in the world according to Fortune 500 (2020). Arrow works closely with the top manufacturers of electronic components in the world, and products we offer range from passive components through microcontrollers, microprocessors, FPGAs and specialized SoMs and single-board computers.
Few Words About The Team
We are currently in the process of expanding the software division, with a specific focus on innovation, Artificial Intelligence, Internet-of-Things and Cloud services. We are a boutique team of Engineers (Gdansk, Madrid, Budapest, Frankfurt) that is reporting to Tolga.
We are a growing team of developers focused on embedded systems and cloud-based solutions. In the Machine Learning team we work mainly with
NVIDIA, Qualcomm and NXP, often directly with the engineers of these companies.
Most often we deal with the latest solutions from manufacturers in projects carried out for our clients.
What You Will Be Doing At Arrow
Requirements
Degree in the field of quantitative analysis (e.g. Computer Science, Robotics, Mathematics, Statistics or other related field)
5+ years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical or machine learning approaches
Note: We also hire recent college graduates or those who are about to graduate. If you’re confident in your strengths in the field of AI, show us what you did and convince us that together we can create great innovations using cutting-edge AI technology.
Experience with Machine Learning, Statistics, or other data analysis tools and techniques
Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets
Experience with at least one programming language (i.e. Python, R, C++, C)
Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2
Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2
Experience with machine learning libraries and packages such as PyTorch, Caffe2, TensorFlow, Keras or Theano
Nice To Have
What’s in it for you?
Location:
ES-Alcobendas, Spain (Avenida de Europa)
Time Type
Full time
Job Category
Sales