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Eligibility Criteria:

• Bachelor’s or Master’s in computer science/ Mechanical engineering/ Aerospace/ Electrical/ Electronics engineering
• Demonstrated relevant work experience of 0-2 years
• Demonstrated experience in the development of custom algorithms
• Demonstrated experience in programming for real-world applications
• Interest in working on innovative industrial products and projects
• Interest in contributing to technical papers at prestigious conferences and journals

Job Description:

• Research and development in Generative Optimization as well as the ability to come up with innovative concepts using generative models
• Research and development in Geometric deep learning
• Develop and prototype applications for innovations in generative optimization
• Keeping abreast with the State of the art in the area of Digital twin applications
• Development of Proof of Concepts in areas related to machine learning for CAD/ CAE models
• Implementation of web applications for advanced engineering data visualization
• Implement custom software components to address requirements not handled by off-the-shelf systems (e.g., processing domain-specific data, handling large volume data, etc)
• Work on existing R&D projects with a focus on delivering results, help define future projects and help shape roadmaps for the technological area
• Collaborate, research, and publish findings at various internal and external forums
• Interact with customers to understand their pain points and suggest line of action
• Work closely with customers to deliver outstanding solutions in business projects and integrate them with customer workflows

Skills:

• Experience in the simulation and Digital twin domain
• Proficient in Python, Python Flask or Django framework and automation frameworks
• Experience with CAD-related tools like NX, Solid works etc
• Familiarity with machine learning and Deep Learning, including hands-on implementation experience
• Excellent quantitative aptitude
• Ability to come up with custom algorithms

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