Machine Learning Engineer
vor 4 Wochen
We are a young and dynamic startup from Switzerland that aims to facilitate the understanding of unstructured machine data in a smart and easy manner. Our big data analytics solution provides extensive analytical capabilities and insights into machine-generated log data for visibility into complex IT environments.
As a Machine Learning Engineer, you will prototype, design and develop machine learning algorithms for time-series data. You will implement, test and optimize proposed machine learning models for large-scale environments, collaborating closely with the software engineering team to integrate these models with our main platform.
Your qualifications and competencies should include:
- MSc or Ph.D. in computer science, statistics, mathematics or related fields
- Relevant industry experience is a plus
- Expertise in modern analytics tools and programming languages such as Python, Scala, Java and/or R, Elasticsearch, Spark, Hadoop etc.
- Expertise in 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.
- Motivated and passionate about large-scale machine learning problems, with the ability to think big and get things done
- Good communication skills - ability to explain complex technical issues to both technical and non-technical audiences
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