Lead Research Engineer Machine Learning and AI

Title: Lead Research Engineer  Machine Learning and AI
Location: Bangalore, India
Organization: Center for Innovation in Diagnostics, 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 worlds 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 continuumfrom prevention and early detection to diagnosis and treatment.

The Center for Innovation in Diagnostics group of Siemens Healthineers at Bangalore, India is looking to recruit candidate who has a keen interest and passion for inter-disciplinary research and development in machine learning and diagnostics. This person will be involved in hands-on development of computational algorithms to analyze diagnostic data and model the 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
  Translate clinical decisioning solution 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 groups efforts in machine learning and decisioning sciences in the areas of precision diagnostics and personalized healthcare

What do I need to qualify for this job 
  Post-graduate degree (Ph.D. is preferred) in Applied Math/Engineering/Sciences with 1 to 2 years experience
  Strong theoretical and practical knowledge in statistics and mathematics
  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, Matlab, C++ or similar high-level programming languages is required
  Familiarity with cloud infrastructures and their tools for machine learning (e.g., Azure, AWS, Google Cloud) is advantageous
  Familiarity with software development best practices, version control systems (e.g., Git), and collaborative development environments
  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 Healthineers is dedicated to equality and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens Healthineers 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.,