Computer Vision Engineer

3 weeks ago

Bengaluru, India Not Applicable Full time

Computer Vision | Generative AI | Automotive Manufacturing | Battery Manufacturing | Industry 4.0| Medical Imaging| Digital Image Processing| Deep Learning

Key Responsibilities:

 Design, implement and test deep learning models across a range of engineering design problems. 

 Use deep knowledge in computer/machine vision techniques to solve manufacturing engineering problems for industry 4.0/smart manufacturing - viz. In-line Weld (Laser, RSW, GMAW) quality detection, Laser weld CO2 leak detection, In-line Paint quality detection, In-line Quality Control of adhesive dispensing systems etc.

 Apply advanced pattern recognition techniques to images for machine learning applications in engineering simulation.

 Apply Generative AI to solve battery design and manufacturing problems.

 Maintain an awareness of the latest deep learning methods and be able to pair the correct methods to a problem description.

 Work in a multidisciplinary team and collaborate with other teams.

 Lead the development of new predictive models working with internal stakeholders from gathering requirements to delivery

 Research, design, and develop new machine learning solutions and algorithms. Keep abreast of the latest in this area including explainable AI, Quantum Machine Learning etc.

 Support advanced analytical and data mining efforts which could include but not limited to clustering, segmentation, logistic and multivariate regression, decision/CART trees, neural networks, time-series analysis, sentiment analysis, Bayesian analysis etc.

 Lead/support the Method development activity in the area of Active Safety and ADAS virtual simulations using AI/ML concepts and tools. 

 Submit records of invention into organization's patent submission system along with journal/conference paper publications. 


Required Skills and Experience:

Ø Specialization in machine learning/predictive analytics/operations research or other data analytics areas

Ø Hands on experience with image processing tools and techniques.

Ø Experience building Deep Neural Network models using CNNs, GANs, Transformers, Self-Supervised Learning and/or Multi-Task Learning.

Ø Experience building different types of architectures like U-Net, Auto-Encoders, Mask R- CNN, Transformers, 3D U-Net and Resnet architectures

Ø Experience with camera-based sensor systems

Ø Experience with 3D/4D reconstruction of X-Ray, CT-Scan images and defect identification from such images.

Ø Experience with 2D, 3D object detection and tracking, gesture recognition, depth estimation

Ø Track record of driving atleast one ML research project from conception to production.

Ø Hands on experience in DOE based optimization tools.

Ø Strong programming skills in Python, C++, C#, Matlab

Ø Strong problem solving, analytical, and conceptual thinking skills, resourceful and adaptive with the ability to find ways around obstacles to develop solutions.

Ø High level of interpersonal skills with a demonstrated ability to work effectively cross-functionally and cross-culturally

Ø Demonstrated self-starter who can work independently and deal with ambiguity.

 

Education:

Ø Ph.D or MS/MTech in CS/EE/Mech or related branches of engineering from premier institutes like IITs/IISc/NITs etc.

 

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