Job Title: Research Engineer – Scientific computing and Optimization

Location : Bangalore, India

Position Level: 10

• Implement advance methodologies available in Artificial Intelligence, Machine Learning and Data Science fields for simulation, analysis and optimization of various Siemens components and Systems.
• Understand the underlying Mathematics in various ML algorithms and code them using standard languages for their application
• Strong competence and hands-on experience in the analysis of time series data
• Build ‘Proof of Concept’ (PoC) applications using suitable in-house & 3^rd party tools & technologies
• Collaborate, research, and publish findings at various internal and external forums
• Interface with Siemens internal customers and provide Machine learning / AI / based solutions for their needs
• Exhibit the sense of urgency and work closely with the team members

What do I need to qualify for this job?

Technical Expertise

• An ideal candidate will have keen interest and solid skills in Machine learning, Data science, Image Processing and Time Series Data Analysis
• Strong background in understanding & implementation of deep & reinforced learning algorithms/frameworks.
• Intuition and ability to develop Machine Learning algorithms through out-of-the-box thinking
• Excellent programming skills in Python/C/C++/R/Any object-oriented languages are essential.
• Experience in implementing deep neural networks using PyTorch / TensorRT, TensorFlow, OpenVINO, Caffe.
• Exposure to statistical and probabilistic analysis
• Domain experience in TWO of the following is necessary: Scientific computation, Edge computing, Simulation, Optimization, Surrogate models, Bayesian probabilities

Qualifications

• Ph.D. or Master Degree in Computer Science/ Mathematics / Mechanical / Aerospace Engineering / Electrical/Electronics and Communication
• Demonstrated relevant industrial work experience of 1 – 3 years
• Technical papers at prestigious conferences and journals

What else do I need?

• Excellent communication skills in English
• Self-motivated and independent, but also comfortable with team-work.
• International R&D exposure will be a plus
• Focus on quality and result orientation
• Optimistic, can-do attitude

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: https://new.siemens.com/global/en/company/innovation/research-development.html