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Software / Data Engineer

Southfield, MI
In this role the ideal candidate will act as a network and think innovatively while executing the following responsibilities:      
                                                        
·     Designing, developing, constructing, installing, testing and maintaining the complete                  
      data management & processing systems for Industrial IoT.
·     Integrate hardware/sensors and develop software to manage anomaly detection, preventive
       maintenance, quality monitoring and performance improvements applications. Creates user
       interfaces and mechanisms for the flow and access of information.
·      Be able to critical analyze the data collected, applying data mining techniques, doing statistical
       analysis, and building high quality prediction systems integrated with products.
·      Direct research on emerging trends/solutions/standards in Automation and IoT/Industry 4.0.
·      Collaborate/coordinate the work with start-ups and other digital companies and work in strict
       collaboration with universities and students. 
 
TECHNICAL SKILLS

Required
  • Bachelor or Master (preferred) in Computer Science, Automation, Mechatronics, Electrical Engineering or related technical fields.
  • Experience in hardware software co-design – and strong interest in developing software stacks, tools, programming models and APIs for new hardware.
  • Experience in programming in one or more of these languages: Java, C, C++, C#, Python, JavaScript, etc.
Desirable
  • 2 years of work experience in similar field.
  • Design, validation, and characterization of algorithms and/or systems.
  • Experience with Agile methodologies (SCRUM, Kanban) a plus.
  • Experience with common data science toolkits, Machine Learning and Artificial Intelligence, such as Matlab, Tensorflow, is highly desirable .
  • Industrial Automation, Robotics and PLC knowledge/experience.
  • Knowledge of MapReduce techniques and Stream processing (e.g. Hadoop, Apache-Spark).
  • Knowledge on Database architecture and data warehousing, data modeling and mining and Cloud (e.g. AWS, Azure, MongoDB, Cassandra, SQL).
  • Experience with IoT, Software development, Python, C++, Java, Data modeling, Machine Learning, database, big data, cloud.

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