If you are working towards a degree in information technology or a closely related field at EPFL or ETH, if you are a self-motivated and collaborative person with hands-on experience in machine learning or predictive analytics, this is the right place for you!
Logmind can offer you a variety of interesting technical challenges in the field of data science and machine learning. You will be working on solving problems that will help modern enterprises to simplify detection of their IT infrastructure problems, and prevent them from unexpected costly failures.
Your responsibilities will be :
Prototype, design and develop machine learning algorithms for time-series data.
Implement and test proposed machine learning models for large-scale environment.
Closely collaborate with the software engineering team to Integrate optimized and well-performed methods with the main platform.
Required skills :
Experience in modern analytics tools and programming languages such as Python, Scala, Java and / or R, Elasticsearch, Spark, Hadoop, etc.
Knowledge of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, sequential pattern discovery, and text mining.
Relevant industry experience is a plus.