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Lead Research Engineer – Scientific computing and Optimization

Job Description

Responsibilities:
• Implement advance methodologies available in  statistical Inference, Machine Learning and Data Science fields for simulation, analysis and optimization of various Siemens components and Systems.
• Understand the underlying Mathematics / Statistics 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
• Exposure to finite element analysis, component life analysis involving fatigue, creep and fracture is an added advantage.
• Exposure to probabilistic design and advanced probabilistic analytics, Bayesian statistics are good to have.
• Build ‘Proof of Concept’ (PoC) applications using suitable in-house & 3rd 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


Technical Expertise Needed:
• Exposure to statistical and probabilistic analysis
• Domain experience in TWO of the following is necessary: Mechanical design, Simulation, Optimization, Surrogate models, Bayesian probabilities
• 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 / Statistical methods 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 , TensorFlow,  Caffe.
• Qualifications: Ph.D. or Master Degree in Computer Science/ Mathematics / Mechanical / Aerospace Engineering / Electrical/Electronics and Communication 
• Demonstrated relevant industrial work experience of 5 – 8 years
• Technical papers at prestigious conferences and journals 

Additional requirements:
• 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

Organization: Technology

Company: Siemens Technology and Services Private Limited

Experience Level: Experienced Professional

Job Type: Full-time

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