There is a huge demand for deep learning jobs in big tech companies in 2022 and beyond
Deep learning jobs are in huge demand at multiple big tech companies to adopt digitalization and globalization in this global tech market. Yes, the competition is very high among big tech companies in recent times. Thus, they are offering deep learning vacancies with lucrative salary packages for experienced deep learning professionals. Machine learning jobs are also included in the vacancy list of big tech companies to apply for in April 2022. One can apply to these deep learning jobs if there is sufficient experience and knowledge about this domain. Hence, let’s explore some of the top ten deep learning jobs in 2022 to look out for in big tech companies.
Top ten lucrative deep learning jobs in 2022
Deep learning performance architect at NVIDIA
Location: Shanghai
Responsibilities: The architect must analyze the performance of multiple machine learning algorithms on different architectures, identify architecture and software performance bottlenecks and propose optimizations, and explore new hardware capabilities.
Qualifications: The candidate should have an M.S./Ph.D. in any technical field with sufficient experience in system architecture design, performance optimization, and machine learning frameworks.
Applied research scientist, computer vision/deep learning-NEON at Samsung Research America
Location: California
Responsibilities: It is expected to research and implement novel algorithms in the artificial human domain while efficiently designing and conducting experiments to validate algorithms. One should help with the collection and curation of data, train models, and transform research ideas into high-quality product features.
Qualifications: They must be a Master’s or Ph.D. in any technical field with hands-on experience in developing a product based on machine learning research, frameworks, programming languages, and many more.
Applied scientist- machine learning/deep learning at Amazon
Location: North Reading
Responsibilities: The right candidate should develop deep neural net models, techniques, and complex algorithms for high-performance robotic systems. It is necessary to design highly scalable enterprise software solutions while executing technical programs.
Qualifications: There should have a Ph.D. in any technical field with more than two years of experience in a programming language, over three years in developing machine learning models and algorithms, and more than four years of research experience in this domain and machine learning technologies. It is necessary to have a strong record of patents and innovation or publications in top-tier peer-reviewed conferences.
Deep learning researcher- speech recognition at Qualcomm
Location: Seoul
Responsibilities: It is expected to work on automatic speech recognition and keyword spotting with speech enhancement in a multi-microphone system. The researcher must be the representation of learning audio and speech data with generative models for speech generation or voice conversion.
Qualifications: There should be a deep knowledge of general machine learning, signal processing, speech processing, RNN, generative models, programming languages, and many more.
Technical expert- deep learning and collective intelligence at Siemens
Location: Bengaluru
Responsibilities: It is necessary to build innovative and robust real-life solutions for computer-vision applications in smart mobility and autonomous systems, develop strategic concepts and engage in technical business development, as well as solve challenges associated with transformation such large complex datasets.
Qualifications: The candidate must have a Ph.D./Master’s degree in computer science with at least eight years of hands-on experience in computer vision, video analytics problems, training in deep convolutional networks, OpenCV, OpenGL, and many more.
Deep learning quality engineer (tester) at Accenture
Location: Bengaluru
Responsibilities: The duties include enabling full-stack solutions to boost delivery and drive quality across the application lifecycle, performing continuous testing for security, creating automation strategy, participating in code reviews, and reporting defects to support improvement activities for the end-to-end testing process.
Qualifications: The engineer must have a Bachelor’s degree with eight to ten years of work experience with statistical software packages and a deep understanding of multiple software utilities for data and computation.
Deep learning engineer at Intel
Location: Santa Clara
Responsibilities: The duties include the analysis of the state-of-the-art algorithms for multiple computing hardware backends and utilizing experience with machine learning frameworks. There should be an implementation of multiple distributed algorithms with data flow-based asynchronous data communication.
Qualifications: The engineer must have a Master’s/Ph.D. degree in any technical field with more than two years of industry experience.
Deep learning scientist, TTS research at Amazon
Location: Great Britain
Responsibilities: The scientist should develop novel algorithms and modelling techniques to improve state-of-the-art speech synthesis. It is essential to use Amazon’s heterogeneous data sources with written explanations and their application in AI systems.
Qualifications: The candidate should have a Master’s or Ph.D. degree in machine learning, NLP, or any technical field with two years of experience in machine learning research projects. It is necessary to have hands-on experience in speech synthesis, end-to-end agile software development, and many more.
Machine learning and deep learning at WNS
Location: Bengaluru
Responsibilities: The candidate should work with programming languages like R and Python to efficiently complete the life cycle of a statistical modelling process.
Qualifications: The candidate must be a graduate or post-graduate with at least six years of experience in machine learning and deep learning.
Deep learning at EY
Location: Bengaluru
Responsibilities: It is essential to support the day-to-day activities of the development and engineering by coding and programming specifications by developing technical capabilities, assisting in the development and maintenance of solutions or infrastructures, as well as translating product requirements into technical requirements.
Qualifications: The candidate should have a B. Tech/M. Tech/MCA or a Bachelor’s degree in any technical field with more than three to five years of experience on SAP U15/ABAP/CDS/ and many more. It is essential to have sufficient knowledge of cloud development, maintenance process, SAP BTP services, and many more.
Source: analyticsinsight.net
