Solar Spy is an analytical platform dedicated to support solar farm operations. It processes various types of PV plant data, including image data from aerial inspections, weather data, data from photovoltaic installation infrastructure elements, and more.
Through the use of artificial intelligence models, it can identify problems, help to optimize maintenance costs, or predict energy production.
Our main objective is to maximize green energy production and reduce O&M costs, that ultimately translate into faster ROI.
We are looking for Mid-Level ML / AI / Computer Vision Engineer.
Our requirements :
Master's degree in computer science, data science, mathematics, automatic control or similar,
Strong understanding of machine learning theory and practice,
Solid mathematical background in linear algebra and probability theory,
Experience with computer vision, including object detection, image segmentation,
Programming skills in Python and / or C++,
Experience in packages like numpy, pandas, scikit-learn, scikit-image, opencv, matplotlib, seaborn, etc.,
Knowledge in designing, developing, training and applying deep networks for computer vision applications,
Practical experience with machine / deep learning frameworks like Tensorflow, Keras, and PyTorch,
High sense of responsibility, motivated and looking to work hard.
Your responsibilities :
Develop, evaluate, and optimize various deep learning models for computer vision tasks,
Conduct data analysis and exploration to gain insights on large, structured and unstructured data sets with numerous variables,
Generate charts, infographics, tables to convey data analyses and algorithm evaluations,
Analyse, implement improvements for data processing, ML / AI infrastructure pipelines,
Design and develop internal software tools / components for data cleaning, analysis, and visualization,
Ensure software quality, optimize code for memory efficiency, speed and maintainability,
Collaborate with an interdisciplinary team of developers, engineers to reach project objectives,
What we offer :
Stable employment based on an employment or B2B contract,
Work in a non-corporate environment where you can have an impact on the way your business operates,
Flexible working hours, remote work model,
private healthcare, sports card, training budget.