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

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.

Top Deep Learning Jobs to Apply For

Edge AI Deep Learning Software Engineer at Intel

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. 

Qualifications: 

• Bachelor's or Master's degree in Engineering from a reputed institute is expected.
• The candidate should have around 1-5 years of overall industry experience with at least 3-4 years of leading medium-sized teams. 

Apply here for the role.

Deep Learning Compiler Specialist at Qualcomm Technologies

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. 

Qualifications:  

• The candidate should possess Bachelor's degree in engineering, information systems, computer science, or related fields. 
• He/she should have overall 3-years of software experience in software engineering, architecture, design, and implementation. 
• Experience developing embedded software is mandatory.
• Knowledge of neural networks with hands-on experience using ML frameworks such as TensorFlow or PyTorch. 

Apply here for the job.

Technical Expert: Deep Learning & Collective Intelligence at Siemens Limited

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 company's 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. 

• PhD/Master's degree in computer science from a reputed institute is expected. 
• The candidate should have at least 8-years of work experience in solving complex problems and driving actionable insights. 
• He/she should have minimum of 6-years of experience working on image processing, computer vision, and video analytics problems with a clear understanding and ability to implement algorithms is also a must. 
• They should have hands-on experience using OpenCV and OpenGL. 

Apply here for the job.

Senior Systems Software Engineer- Deep Learning Accelerator at NVIDIA

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 company's 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. 

• The candidate should own a BS or equivalent experience in EE/CS or a closely related field with 5+ years of experience. 
• He/she should have strong ability in C and C++.
• They should be familiar with source control and deep learning.

Apply here for the job.

Deep Learning Researcher (Lead) at Sony

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. 

• The candidate should have 3-6 years of work experience. 
• Hands-on experience in developing deep learning models using CNNs, GANs, etc is expected. 
• He/she should have an in-depth understanding of deep learning concepts and working of CNNs including backpropagation. 
• Proficiency in Python programming language, machine learning frameworks like TensorFlow and Pytorch are a must. 

Apply here for the job.