technical expert - analytics and machine learning

Bangalore, Bangalore

   NoSQL, SAP, Ideas, Analytics, IP.
Job Title
    *Technical Expert (Analytics and Machine Learning) Location:
   Bangalore Job ID:
   249601 With over 1, 900 research operatives worldwide, the Corporate Technology (CT) department ( occupies a special position within Siemens R&D; facilities.
It functions as an international network of expertise and as a global partner for technology and innovations.
Through its R&D; activities in Germany, USA, China, India, Russia, Japan and Eastern Europe Corporate Technology helps secure the companys technological future and bolster its competitiveness.
Research in Digitalization and Automation (RDA) is at the heart of Siemens R&D.; Its strong technology base makes it a strong in
    *house partner for innovation.
We develop technologies with wide applicability for the Siemens Divisions and help them to successfully bring innovations to market.
Our Research Group is part of Business Analytics and Monitoring (BAM) Technology Field of CT RDA.
We as a passionate community of about 180 researchers, data scientists and architects strive to find solutions for exciting problems in various domains ranging from industry, energy, mobility and buildings to smart cities by applying methods and principles of data sciences such as applied machine learning, mining and pattern recognition of sensor data.
Our research primarily focuses on methods and algorithms for data driven decisions.
Typical topics that you would drive as part of our team include:
   Mining of large scale machine data for insights on productivity Condition monitoring and anomaly detection in industrial internet Real
    *time analytics on data streams Disruptive analytics architectures for edge intelligence or multi
    *agents systems What are my responsibilities? Create innovative ideas to address the business needs in the areas that are relevant to the research group and technology field Implement proofs of concept and prototypes to evangelize the ideas Always keep abreast of the latest developments in our areas of research and stay ahead Disseminate the knowledge by conducting technical talks and workshops Create IP and publish papers in reputed international journals and conferences Be a brand ambassador of the team through close collaborations with other research groups and customers Mentor graduate student interns in order to address curious questions in our areas of research Contribute to joint collaboration projects with academia and expert groups What do I need to qualify for this job? Masters/Bachelors degree in Computer Science or a related discipline from a reputed institute with grass
    *root experience of at least 4 years in architecting and leading data analytics and machine learning applications Strong inclination towards mathematical modeling and solutions for real
    *world problems using data mining tools (R, Weka) machine Learning tools (TensorFlow, Caffe, Torch) Proven deep technical expertise in designing and programming large scale data driven solutions using any of the high level programming languages viz.
Java/Python/Scala (at least 6 years) Hands
    *on experience with one or more of the following is a must:
   Streaming data analytics, temporal data analytics, classification, anomaly detection Text mining, semantics, knowledge modeling, multi
    *modal and heterogeneous data analytics, statistical modeling and analytics Algorithms for:
   massive data, optimization, pattern mining, predictive analytics Machine learning methods such as supervised/unsupervised learning, deep learning, reinforcement, or active learning Experience in one or more of the following will be an added advantage:
   Research experience and publications in reputed conferences/journals in the broad field of data analytics and machine learning Distributed data processing technologies (Hadoop, Storm, Spark, NoSQL, SAP HANA) What else do I need to know? Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.
Please find more information at:
    *technology/en/index.php We are looking forward to receiving your online application.
Please ensure you complete all areas of the application form to the best of you ability as we will use the data to review your suitability for the role.
Contact: More information: