Artificial intelligence has swept the world by storm since the term was coined in 1950. Its branches like machine learning and deep learning are introducing even more steep transitions that are completely revolutionizing the way we live. As a subset of machine learning, deep learning analyzes unstructured data and builds artificial neural networks that categorize and grow from the information they parse. Over the past few years, deep learning applications have invaded every industry from law and order to healthcare, aiding professionals to identify the right patterns and suggest apt solutions. Owing to the increasing demand for professionals with tech knowledge, companies are drafting talented candidates for their deep learning jobs. Especially in India, many companies have started hiring for the highest-paying deep learning jobs. Since the demand is high and the number of deep learning professionals is less, organizations have no other choice but to give lucrative packages for them. Even programmers, computer scientists, engineering graduates, and researchers are gaining some deep learning knowledge and trying for these jobs. In this article, Analytics Insight has listed the top deep learning jobs in India that aspirants should apply for in February 2022.
Location(s): Bengaluru
Roles and Responsibilities: As a visual inspection-deep learning specialist at Schneider Electric, the candidate needs to understand the business context and user requirements and be able to manipulate and make complex SQL queries. He/she should perform optimization for the best efficiency of the database maintenance. As the tasks as mostly project-based, they need to take help from another department or colleague to fix software or data issues. So, the candidate needs to have a collaborative mindset. They should arrange project requirements by reviewing program objectives, input data, and output requirements with support teams, qualification teams, and users of the system.
Qualifications:
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Location(s): Hyderabad
Roles and Responsibilities: The deep learning engineer is expected to conduct applied research on computer vision, medical image analysis, and deep learning. The candidate should design and build end-to-end- novel machine learning models to solve unique medical problems and improve patient outcomes. He/she should test and evaluate algorithms on large medical datasets to prove robustness. They should deliver high-quality and production-ready code.
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Roles and Responsibilities: The primary role of the audio ML deep learning specialist will be to work as an AI/ML deep learning tech specialist, specializing in the audio domain for the development of audio emotion solutions for a highly accessed and commercial digital content platform based on a performance consumer electronic device.
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Location(s): Bengaluru
Roles and Responsibilities: The role spans working with customers across multiple internal and external stakeholders and customers. As a deep learning software engineer at Intel, the candidate will be involved from pre-Silicon, enabling activities to actually undertake performance tuning and optimization of deep learning models based on TensorFlow and Pytorch for successful deployment by the company's customers. Additionally, he/she will be expected to influence Intel Discrete GPU hardware capabilities for AI as well as AI software stack for one API.
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Location(s): Chennai, Bengaluru
Roles and Responsibilities: In this role, the deep learning engineer is expected to design and build modern data pipelines using ADF in the Azure platform. He/she people experience in data integration activities (ETL), data pipelines, datasets, etc. They should have low-level design and development skills and should be able to design a solution for given use cases. The candidate should have good knowledge in Azure, Data bricks, Delta lake, and notebooks development.
Apply here for the job.
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