Senior Machine Learning Engineer (m/f/d) Signal Processing

Aplitrak - Berlin - 13-06-2020 zur Vakanz  

EUR65 - EUR75 per annum
Take this rare chance to start as a Senior Machine Learning Engineer and become a team lead within the next 6 months. Take the chance to develop an artificial intelligence-powered Internet of Things platform from scratch. The budget is released – now this successful industry 4.0 company needs you to get started and set up the ML team.

The tasks:
  • You work closely with the CTO to set the plans for the AI engine and the machine learning team.
  • You will be mentoring a Junior ML Engineer and help to successfully construct an AI engine that translates audio signals to allow predictive maintenance.
  • You will be responsible for building the platform including developing the machine learning algorithms as well as building the data pipelines.
  • You will be also working hands-on with AWS IoT Greengrass.

Your profile:
  • Master or PhD in Computer Science, Physics, Electrical Engineering or alike.
  • Minimum 3 years of work experience in implementing Machine Learning and Deep Learning algorithms including supervised and unsupervised learning.
  • Work experience in time series forecasting and signal processing, ideally of audio signals.
  • Strong know-how of Python including ML tools like Tensorflow, Tensorboard, TensorFlow Lite, Keras, Pytorch.
  • Experience with cloud computing e.g. AWS, GCP, Azure.
  • Fluent English language skills.
  • Knowledge of any of the following is a plus: Java, Scala, C++, AWS, Hadoop, Spark, Flink, Jira, Confluence, GitLab.

What my client company has to offer:
  • The chance to build up an IoT platform from scratch.
  • The opportunity to set up your own Machine Learning team of 4.
  • Work in an established company that was founded 7 years ago and learn from 25 enthusiastic tech people.
  • Gain your knowledge in the IoT field and predictive maintenance.
  • Sort out tons of data gathered from buildings all over Germany.
  • Support for training and personal development.
  • Free fruits, snacks, drinks, massages in the office.
  • A compensation up to 80.000 €.
To learn more about this opportunity, please reach out with your CV.
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