Position:

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:

• Build pragmatic, scalable, and statistically rigorous solutions to various challenges from embedded solutions, autonomous cars, industrial applications, robotics and retail.
• Work with data and tasks related to computer vision, statistics, classical artificial intelligence, SLAM, robotics.
• Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations
• Build and maintain data driven optimization models, experiments, forecasting algorithms and capacity constraint models
• Leverage tools like Python, Tensorflow, Torch
• Communicate recommendations, discuss use cases and requirements with internal and external stakeholders

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:

• Experience with Kurbenetes and orchestrating experiments, building ETL pipelines
• Experience with embedded development and constrained platforms, e.g., ARM64, microcontrollers
• Experience in working in cross-functional teams with DevOps, Firmware Developers

What’s in it for you?

• Work from home available
• Great work conditions inside a stable worldwide group, but with a startup vibe.
• Freedom, independence and the most innovative projects you can think of.
• Entrepreneurial mindset, to help grow customers with state-of-the-art technology.
• Access to the latest technology (often before it is officially released!).
• Permanent employment contract.
• Flexible working hours and optional home office.
• Fully remote recruitment process.
• Growth opportunities and more!

#LI-EK2

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