> Markdown version of [/jobs/ext/4579669-application-engineer](https://www.wearedevelopers.com/jobs/ext/4579669-application-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Application Engineer - **Company:** Arrow Electronics - **Location:** Alcobendas, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** C (Programming Language), Artificial Intelligence, Data Analysis, Computer Vision, Big Data, C++ (Programming Language), Extract Transform Load (ETL), Data Mining, Data Visualization, DevOps, Embedded Software, Firmware, R (Programming Language), Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Regression Analysis, NumPy, Tensorflow, Scientific Computating, SciPy, PIC Microcontroller, Pytorch, Theano, Keras, Pandas, Matplotlib, Scikit Learn, Information Technology, Software Library - **Published:** November 5, 2026 - **Apply:** https://dejobs.org/x/x/724C90261D43412696FF9658525E4658/job/ ## About the Role * 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 ## Description * 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