Job Description:
Your new role – challenging and future-oriented: -You are responsible for the design and implementation of innovative technologies and algorithms from an idea to a software system -Analysis and identification of new data related business opportunities in the manufacturing area (Internet of Things) are part of your job description -You develop complex algorithms by utilizing modern approaches from the domains of machine learning and advanced data analytics in general -You play a leading role in the interpretation and analysis of data from complex technical systems -The identification of new technological advances and the development of own invention disclosures complete your field of responsibility Your Qualifications – Solid And Appropriate: -You hold an University degree (PhD degree is a plus) in computer science, bioinformatics, mathematics, physics, or engineering sciences (thesis in the field of Machine Learning and especially Deep Learning is a plus) -You already have 3 or more years of work experience and expertise with technologies, algorithms and methodologies in the areas of Data analytics and Machine Learning especially Deep Learning (publication record is a plus) -Experience with project work in the research and development area especially in the domain of data discovery and data science is highly appreciated -You have knowledge of and experience with modern analytical frameworks, libraries and analytical development frameworks -You have experience with software development process and good programming skills in particular Python and Java combined with knowledge of analytical libraries, experience with Agile is a plus -Advanced experience with massive parallel processing (Hadoop, Spark) and stream analytics (Storm, Spark Streaming) as well as relational databases is appreciated -You have detailed knowledge of machine engineering, experience with control systems is a plus -Advanced speaking and writing skills in English (German is a plus) complete your working profile
Additional Info:
Location: Bad Neustadt a.d.Saale Organisation: Digital Factory Mode of Employment: Permanent If you really want to make a difference – make it with us The Digital Factory (DF) Division offers a comprehensive portfolio of seamlessly integrated hardware, software and technology-based services in order to support manufacturing companies worldwide in enhancing the flexibility and efficiency of their manufacturing processes and reducing the time to market of their products. Getting in touch with us – straightforward and direct www.siemens.de/df-en if you wish to find out more about the specific business before applying. +49 (9131) 7-35335 if you wish to discuss any initial questions with our recruitment team. The contact person handling this job ad is Ms. Saskia Sarmiento. www.siemens.com/application if you would like to find out more about the application process and benefits for employees. Siemens places great value on equal employment opportunities. We look forward to receiving applications from handicapped people and thus support the initiative “job – Jobs ohne Barrieren”.[Click Here to Access the Original Job Post]
Your new role – challenging and future-oriented: -You are responsible for the design and implementation of innovative technologies and algorithms from an idea to a software system -Analysis and identification of new data related business opportunities in the manufacturing area (Internet of Things) are part of your job description -You develop complex algorithms by utilizing modern approaches from the domains of machine learning and advanced data analytics in general -You play a leading role in the interpretation and analysis of data from complex technical systems -The identification of new technological advances and the development of own invention disclosures complete your field of responsibility Your Qualifications – Solid And Appropriate: -You hold an University degree (PhD degree is a plus) in computer science, bioinformatics, mathematics, physics, or engineering sciences (thesis in the field of Machine Learning and especially Deep Learning is a plus) -You already have 3 or more years of work experience and expertise with technologies, algorithms and methodologies in the areas of Data analytics and Machine Learning especially Deep Learning (publication record is a plus) -Experience with project work in the research and development area especially in the domain of data discovery and data science is highly appreciated -You have knowledge of and experience with modern analytical frameworks, libraries and analytical development frameworks -You have experience with software development process and good programming skills in particular Python and Java combined with knowledge of analytical libraries, experience with Agile is a plus -Advanced experience with massive parallel processing (Hadoop, Spark) and stream analytics (Storm, Spark Streaming) as well as relational databases is appreciated -You have detailed knowledge of machine engineering, experience with control systems is a plus -Advanced speaking and writing skills in English (German is a plus) complete your working profile
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Additional Info:
Location: Bad Neustadt a.d.Saale Organisation: Digital Factory Mode of Employment: Permanent If you really want to make a difference – make it with us The Digital Factory (DF) Division offers a comprehensive portfolio of seamlessly integrated hardware, software and technology-based services in order to support manufacturing companies worldwide in enhancing the flexibility and efficiency of their manufacturing processes and reducing the time to market of their products. Getting in touch with us – straightforward and direct www.siemens.de/df-en if you wish to find out more about the specific business before applying. +49 (9131) 7-35335 if you wish to discuss any initial questions with our recruitment team. The contact person handling this job ad is Ms. Saskia Sarmiento. www.siemens.com/application if you would like to find out more about the application process and benefits for employees. Siemens places great value on equal employment opportunities. We look forward to receiving applications from handicapped people and thus support the initiative “job – Jobs ohne Barrieren”.[Click Here to Access the Original Job Post]