Descripción de la oferta
Overview
In this role, you will develop scalable, data-driven solutions spanning embedded systems, autonomous vehicles, robotics, and industrial applications. You will work with cross-functional teams to define problem statements, collect data, and build analytical models that inform decisions and optimization. You’ll apply ML and AI techniques to real-world challenges and communicate practical insights to internal and external stakeholders. This is a hands-on position at Arrow’s software division, blending hardware and cloud-enabled solutions to shape advanced applications.
Compensaciones / BeneficiosWork from home availablePermanent employment contractFlexible working hoursFully remote recruitment processGrowth opportunitiesAccess to latest technology
ResponsabilidadesBuild scalable data-driven solutions for embedded, robotics, and industrial domainsWork with data to define problems, collect datasets, and develop analytical modelsDevelop optimization, forecasting, and capacity models based on dataLeverage Python, TensorFlow, Torch for model development and experimentationCommunicate use cases, requirements, and recommendations to stakeholders
Requisitos principalesDegree in a quantitative field (e.g., Computer Science, Robotics, Mathematics, Statistics)5+ years of experience solving analytical problems and building models with quantitative or ML approachesExperience with ML, statistics, or data analysis methodsProficiency in at least one programming language (Python, R, C++, C)Experience with NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2Experience with statistics methods (forecasting, time series, hypothesis testing, classification, clustering, regression)Experience with data visualization libraries (Matplotlib, Pyplot, ggplot2)Experience with ML libraries (PyTorch, Caffe2, TensorFlow, Keras, Theano)Cross-functional collaborationEffective communication with internal and external stakeholdersProblem solving with a pragmatic, results-oriented mindsetPythonTensorFlowTorch
