R&D Engineer / Leading Engineer (Data mining, Machine learning)

Job Description

We are looking for an R&D engineer who will contribute to the software development of next generation products and solutions incorporating data analytics for their improved performance, reliability and best in class quality. Becoming a part of a global Digitalization team will allow you to cooperate and exchange experience with software developers around the globe.
 
What are responsibilities?
We consider candidates with various experience and skills ranging from young talented specialists till experienced and innovative developers. The responsibilities vary depending on experience of the candidate.
General areas of responsibilities cover:
Develop analytical applications in Siemens Big Data platform (Mindsphere) for anomaly detection, predictive analytics, forecasting, signal processing
Research, design, and implement algorithms that power knowledge inference and online recommendations
Dive into huge, noisy, and complex real-world behavioral data to produce innovative analysis and new types of predictive models of engineering behaviors and manufacturing processes performance
Explore the untapped potential of big data for design, engineering and analysis tasks and devise revolutionary approaches
Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences
Apply deep learning techniques to large-scale, real-world problems
Fast prototyping, feasibility studies, specification and implementation of data analysis product components
Working with customers to understand algorithm requirements and deliver high-quality solutions.
Work in a team using agile development methodologies such as Scrum, KANBAN
Continuous improvement of the tools and processes used by the team
What are requirements?
Degree in mathematics or statistics
Practical experience in data mining, machine learning, knowledge discovery, artificial intelligence, signal processing, time series forecasting
Hands-on advanced proficiency in handling and analyzing large data sets
Knowledge in optimal computational environment required for data processing, mining and machine learning
Programming languages: Python, R
Scientific publications and references or proven successful industry experience
Great interest and motivation for applied research
Upper intermediate English
Would be beneficial:
Degree in physics
Experience in Deep Learning tools like - TensorFlow, Keras, Caffe, Theano, PyTorch, Deeplearning4j
Experience with Cloud Computing, e.g. AWS, MS Azure
Experience with the information technology aspects of data collection, organization, and integration.
Java development experience
Contribution to journals/blogs/professional community resources
What else should I know:
Full time position
Corporate trainings
Corporate medical insurance
Corporate pension program
Fitness compensation
Lunch compensation
Relocation support for candidates from outside of Moscow

Job ID: 122673

Organization: Corporate Technology

Company: OOO Siemens

Experience Level: Experienced Professional

Job Type: Full-time

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