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Lead Research Engineer-Machine Learning Jobs in Bangalore - Siemens Healthineers

Lead Research Engineer-Machine Learning

Siemens Healthineers
experience-icon 0 to 3 Years
salary-icon Not disclosed
Expired

Posted: 16 Apr 21

Job Description

Title: Lead Research Engineer – Machine Learning

Location: Bangalore, India

Organization: Technologies for Precision Medicine, Siemens Healthineers, Bangalore

Mode of employment: Full time

Lead Research Engineer

Introduction

Siemens Healthineers develops innovations that support better patient outcomes with greater efficiencies, giving providers confidence that 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 Technologies for Precision Medicine Research Group of Siemens Healthineers in Bangalore, India is looking to recruit candidate who has a keen interest and passion for inter-disciplinary research and development in data sciences and diagnostics. This person will be involved in hands-on development of computational algorithms to analyze biomedical data and model their behavior.

What are my responsibilities?

Conduct research, design and implement algorithms using machine learning for analysis of data acquired through various diagnostic devices

Implement algorithms in suitable high-level programming language

Collaborate with internal and external partners to translate concepts and algorithms into implementable practical solutions of business relevance

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 precision medicine and personalized healthcare

What do I need to qualify for this job?

Post-graduate degree (Ph.D. is preferred) in Biostatistics/Applied Statistics/Applied

Math/Engineering/Sciences with 1 to 2 years of relevant experience

Strong theoretical and practical knowledge in statistics and mathematics

A strong understanding of under the hood fundamentals of deep learning and other machine

learning frameworks

Demonstrated ability in the application of Machine Learning/AI in real-world industrial

settings with large scale data

Hands-on experience with deep learning frameworks such as Keras, TensorFlow or PyTorch is

Required

Ability to write scripts in Python, R, C++ or similar high-level programming languages is

Required

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.

Contact

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

Organization: Siemens Healthineers

Company: Siemens Healthcare Private Limited

Experience Level: Experienced Professional

Job Type: Full-time

Job Particulars

Education BE/B.Tech, ME/M.Tech
Who can apply Freshers and Experienced (0 to 3 Years )
Hiring Process Face to Face Interview
Employment Type0
Job Id1183373
Job Category Core Technical
Locality Address
Country India

About Company

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