We are looking for a passionate ML Engineer that can help us automate and scale our data pipelines. You are a data geek with some experience working as a ML/data engineer or Data Scientist, ready to level up and build production grade pipelines focused on time series data. You are probably subscribing to +10 ML newsletters and having arXiv sanity as your homepage and picture of Andrew Ng on your bedside table.
Degree (BSc or MSc) in data science, computer science, engineering, mathematics (or comparable field)
+1 year of experience in Machine Learning
A background in reliability theory and predictive maintenance
Experience in Python (with all basic libraries, at least Pandas and ScikitLearn)
Experience working with very large data sets and parallel processing (e.g. Dask, Spark, Hadoop, …)
Experience with Docker and Linux systems
Very good theoretical & practical knowledge of common machine learning algorithms (basics: random forests, boosting algorithms, etc.)
Good statistical knowledge, hypothesis testing, model evaluation, etc.
Good theoretical & practical knowledge in neural networks, deep learning, and convolutional neural
networks and their implementation in Python (e.g., Keras, etc.)
Cloud computing & cloud architectures – setting up jupyter servers linked to different instances in the cloud or on premise
Team player mentality & pro-active personality
Fluency in English is a must. Language skills in German, Portuguese and Spanish are a plus
Basic knowledge of the Renewable Energy industry is a plus
You read PEP8 as a bedtime story
We are ANNEA.ai, a young company based in Hamburg, Germany and in Lisbon, Portugal. We are an international team of engineers, computer scientists, experts in Internet of Things (IoT) and artificial intelligence – with many years of experience, and a strong background in engineering. Our vision is to save resources for a more sustainable planet. Therefore, we defined our mission to make machinery more efficient through predictive maintenance. Here we focus primarily on renewable energy generation.
We offer an end- to-end software-solutions for automated condition-based predictive maintenance for renewable energies. Based on profound domain knowledge, advanced machine learning and sophisticated IoT-techniques we predict future problems in the machines to make renewable energy more competitive to conventional energy generation.
If you think you are a good fit, please click the button below and apply for this position online!
ANNEA is a progressively equal opportunity employer. We support and encourage diversity. We are committed to creating the utmost inclusive environment for all.
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