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Deep learning jobs are preferred highly in terms of salary, growth, and exploration

After artificial intelligence came into existence, many sub-technologies started emerging. Machine learning and deep learning are two important branches of AI that are invading every industry and serving their purpose to the best. Deep learning is a subset of machine learning that helps in analyzing datasets to improve real-time decision-making. In particular, deep learning works with unstructured data and builds effective AI models. Owing to its increasing usage, deep learning jobs are also put under the spotlight. According to a report, deep learning jobs are preferred highly in terms of salary, growth, and exploration. If you are interested in handling data, have a special talent in automation and machine learning, then deep learning jobs are for you. By gaining deep learning knowledge, aspirants can apply it for a variety of professions like machine learning engineering, data scientists, business intelligence developers, etc.

Analytics Insight has listed the top deep learning jobs that interested candidates should apply for in January 2022.

Locations: Bengaluru

Roles and Responsibilities: As an edge AI deep learning software engineer at Intel, the candidate should conduct design and development to build and optimize deep learning software. He/she should implement various distributed algorithms such as model/data-parallel frameworks, parameter asynchronous data communication in deep learning frameworks. They should transform the computational graph representation of neural network model. The candidate should develop deep learning primitives in math libraries.

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Locations: Bengaluru

Roles and Responsibilities: At Qualcomm Technologies, the deep learning compiler specialist will be working on researching and developing an in-house framework and also open-source compiler frameworks with TVM. He/she is responsible for optimizing the deep learning models from various frameworks like TensorFlow, PyTorch, Onnx, etc to Aderno, GPU. They should do researches to enhance the performance of these compiler frameworks by enhancing them with Qualcomm proprietary extensions. The candidate should be contributing to open-source communities.

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Locations: Bengaluru

Roles and Responsibilities: As a technical expert at Siemens Limited, the candidate can move beyond theoretical models and build innovative, practical, and robust real-world solutions for computer vision-based applications in smart mobility, intelligent infrastructure, and autonomous systems. He/she should develop strategic concepts and engage in technical business development to address new markets with the companys business units using video-analytics-based technologies. They should demonstrate the ability to drive innovation and research in the form of patents and publishing at top-tier conferences/journals.

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Locations: Bengaluru

Roles and Responsibilities: As a senior systems software engineer, the candidate will be responsible for developing and maintaining software drivers for next-generation NVIDIA hardware. He/she along with other specialists in the team will help advance the companys leadership in applying deep learning to tackle real-world problems in the autonomous driving domain. As a member of the team, the candidate should architect, design, and implement a user-mode compiler for the deep learning accelerator for both Tegra and open-source DLA.

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Locations: Bengaluru

Roles and Responsibilities: The deep learning researcher is expected to research and develop DL models from the ground up for new use cases, based on set business objectives. The candidate should identify datasets for the problem, data cleansing, analysis, and visualization. He/she should evaluate different machine learning algorithms to solve a given problem.

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New Opportunities: Top Deep Learning Jobs to Apply in Jan 2022 - Analytics Insight