Lead Research Engineer – Machine Learning

Job Description

Title : Lead Research Engineer – Machine Learning
Location : Bangalore, India
Organization: Technology Center, Siemens Healthineers
Mode of employment: Full time

Lead Research Engineer
Siemens Healthineers develops innovations that support better patient outcomes with greater efficiencies, giving providers the confidence they need to meet the clinical, operational and financial challenges of a changing healthcare landscape. With 45,000 employees Siemens Healthineers is one of the world’s largest suppliers of technology to the healthcare industry. As a global leader in medical imaging, laboratory diagnostics, and healthcare information technology, we have a keen understanding of the entire patient care continuum—from prevention and early detection to diagnosis and treatment.
The Technology Center department occupies a special position within Siemens Healthineers. It functions as an international network of expertise and as a global partner for technology and innovations. Through its R&D activities across the globe, Technology Center helps secure the company's technological future and bolster its competitiveness.
The Technologies for Precision Medicine Research Group of Siemens Healthineers Technology Center in Bangalore, India is looking to recruit candidate who has a keen interest and passion for inter-disciplinary research and development in diagnostics and machine learning. This person will be involved in hands-on development of computational algorithms for analyzing biomedical data and data acquired using various multi-spectral imaging technologies. The ideal candidate would combine knowledge of computation and eye for detail with a passion for development of algorithms to understand biological data.

What are my responsibilities?
Conduct research, design and implement algorithms in machine learning for analysis of features acquired using multi-spectral imaging and biomedical tests
Design and implement algorithms in suitable high-level programming language    
Collaborate with internal and external partners to translate concepts and algorithms into implementable practical solutions
Advance the state-of-the-art including generating patents and publications in top journals and conferences
Contribute to the group’s efforts in machine learning and decisioning sciences in the areas of microscopy, spectroscopy

What do I need to qualify for this job?
Post-graduate degree (Ph.D. is preferred) in Science/Engineering/Statistics or Applied Math
Strong theoretical and practical background in Machine Learning frameworks
Relevant experience in algorithm development in a field related to image processing, pattern recognition and/or computer vision 
Ability to write scripts in Python, R, C++ or similar high-level programming languages is highly desirable
Experience with Caffe, TensorFlow, MxNet, Keras, Theano or other deep learning frameworks is a plus
Understanding of image processing, 3D images including detection and classification of objects in complex low/medium/high resolution datasets is a plus
Solid communication and interpersonal skills
Creative, self-directed, and a team player with an ability to take ownership and accountability of assigned tasks

In case you have acquired your skills in alternative ways your application is just as well appreciated. 

What else do I need to know?
Siemens is dedicated to equality and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.
We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.

If you have further questions regarding this job offer, please post your resume mandatorily through the link mentioned below

Job ID: 122702

Organization: Siemens Healthineers

Company: Siemens Healthcare Private Limited

Experience Level: Experienced Professional

Job Type: Full-time

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