Over the past couple of years, the Covid-19 pandemic followed by the intrusion of its variants has has a devastating impact on the global economy. Employment across many industries was under great threat. However, one thing that the catastrophe left unscathed was artificial intelligence. Artificial intelligence came into existence when humans thought of making machines that imitate human behavior. The core aspect of creating AI was to make technology recreate human insights in a better and advanced way. Owing to its amazing capabilities, AI was adopted across many sectors. Today, everything starting from the mobile applications we use to self-driving cars is powered by artificial intelligence. As the need for technology is drastically growing, organizations are also looking for talented professionals to fill artificial intelligence jobs. Artificial intelligence careers are also getting more attention like never before. Since 2019, artificial intelligence jobs have experienced 32% growth. By taking up these extraordinary opportunities, AI professionals can explore new techniques and aspects in practical usage. Analytics Insight has listed the top artificial intelligence jobs that aspirants should apply for in 2022.
Location(s): Bengaluru
Roles and Responsibilities: As an analyst-artificial intelligence innovation at Accenture, the candidate will be aligned with the company's insights and intelligence vertical and help them generate insights by leveraging the latest artificial intelligence and analytics techniques to deliver value to its clients. The artificial intelligence innovation team is responsible for the creation, deployment, and managing of the operation of projects. Therefore, the candidate will work on data science, which is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured. In this role, they are required to analyze and solve lower-complexity problems. The candidate will be given moderate-level instructions on daily work tasks and detailed instructions on new assignments.
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Location(s): Noida
Roles and Responsibilities: Dharmapal Satyapal Limited is looking for a highly creative and talented Member Technical Staff (MTS) with Embedded Systems, Internet of Things (IoT) and artificial intelligence work experience. The candidate should build cutting-edge software solutions for a wide range of the company's FMCG areas business needs using technologies like embedded programming, internet of things, deep learning, and machine learning for human tracking, animal tracking, video analysis, ambiance intelligence, quantum analysis, smart agriculture, medical diagnostic, augmented reality and various custom AI models.
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Location(s): Hyderabad, Bengaluru
Roles and Responsibilities: As an AI/ML data scientist, the candidate will join the team and scale the company's technical CoE for AI/ML with responsibilities across architecting solutions for deal pursuit and client engagements, PoC development, delivery of client engagements, focused IP/accelerator development.
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Location(s): Bengaluru
Roles and Responsibilities: As a lead artificial intelligence engineer at Baker Hughes, the candidate is responsible for checking the availability and relevance of internal and external data sources like clean and validating data. He/she should propose and lead new data collecting activities. They should develop and test software components according to the customer and technical requirements. The candidate should integrate, verify, and validate AI software applications and tools and support their industrialization.
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Location(s): Bengaluru
Roles and Responsibilities: The candidate will develop, maintain, evaluate, and test big data solutions. He/she will be involved in the design of data solutions using artificial intelligence-based technologies like H2O, Tensorflow. They are responsible for designing algorithms and implementation including loading from disparate datasets, pre-processing using Hive and Pig. The candidate should maintain production systems like Kafka, Hadoop, Cassandra, and Elasticsearch.
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