Machine Learning Engineer 2

2 - 6 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

The development engineer will be part of a team working on the development of the Illustrator product in Adobe's creative suite of products. You will be responsible for developing new features and maintaining existing features throughout all phases of development, from early specs and definition to release. As a hands-on problem solver, you should be well-versed in analyzing, architecting, and implementing high-quality software. Key Responsibilities: - Develop new features and maintain existing features for the Illustrator product - Be involved in all phases of development, from early specs to release - Solve problems hands-on and ensure the software is reliable, maintainable, secure, performance optimized, multi-platform, and world-ready Qualifications Required: - B.Tech. / M.Tech. in Computer Science from a premiere institute - Excellent knowledge in the fundamentals of machine learning and artificial intelligence - Hands-on experience in the entire machine learning lifecycle, from EDA to model deployment - Proficiency in data analysis tools like Jupyter, and packages like Numpy, Matplotlib - Strong programming skills in C/C++ and Python - Familiarity with deep learning frameworks such as Tensorflow, PyTorch, Keras, Caffe, Torch - Experience in data synthesis and processing for training models - Relevant work experience in computer vision and graphics - 2-4 years of experience in machine learning If you are pursuing a new opportunity at Adobe, remember to update your Resume/CV and Workday profile, including your uniquely Adobe experiences and volunteer work. You can explore internal mobility opportunities on Inside Adobe and prepare for interviews with helpful tips. The Adobe work environment fosters creativity, constant learning, and career growth, supported by ongoing feedback through the Check-In approach. If you are seeking to make an impact, Adobe offers an exceptional work environment and meaningful benefits.,

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