Artificial intelligence had an eventful decade so far. With 2021 bringing more into play, technology has stronghold its place in every ecosystem. Especially, business organizations are enhancing their AI capabilities to streamline routine processes. Starting from attending to customer queries to powering autonomous vehicles, the influence of artificial intelligence is no joke. Besides, critical fields like healthcare, education, and space are adopting AI to sophisticate their existing features and bring in innovation. Owing to the increasing usage, the demand for AI skills and AI professionals is also growing. According to a report, the hiring for artificial intelligence jobs has been rising at a rate of 74% annually. People who are taking up top artificial intelligence jobs explore more tech aspects while also getting a high salary. However, improving AI skills and keeping up with the emerging trends, tools, and technologies are important points while working in the digital sphere. MNCs always look for artificial intelligence professionals who have both tech knowledge and business skills. Analytics Insight has listed the top artificial intelligence jobs that aspirants should apply for in MNCs today.

Location: Bengaluru, Karnataka

Roles and Responsibilities: As a team lead/consultant- Artificial Intelligence at Accenture, the candidate will be aligned with the companys insights and intelligence verticals to help it generate insights by leveraging the latest artificial intelligence and analytics techniques to deliver value to clients. He/she should also help Accenture apply their expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI platforms and technologies. In the company, the Artificial Intelligence team is responsible for the creation, deployment, and managing of the operations. Therefore, the candidate will be responsible for building AI solutions that benefit experts, research, and platform engineers for coming up with creative solutions. In the role, the candidate needs to analyze and solve moderately complex problems. They should create new solutions, leveraging and adapting existing methods and procedures.

Qualification:

Apply here for the job.

Location: Bengaluru, Karnataka

Roles and Responsibilities: The data scientist: artificial intelligence at IBM will help transform the companys clients data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. He/she will develop, maintain, evaluate, and test big data solutions. They will be involved in the design of data solutions using artificial intelligence-based technologies like H2O, Tensorflow. To deliver top-notch service, the candidate is expected to have skills in designing algorithms, implementing pipelines, validating model performance, and developing interfaces such as APIs. They are also responsible for designing and algorithms and implementation including loading from disparate datasets, pre-processing using Hive and Pig.

Qualification:

Apply here for the job.

Location: Pune

Roles and Responsibilities: Through this role, Philips gives an opportunity for the selected candidate to contribute towards the AI solutions roadmap with the responsibility of Architecture of a range of AI solutions and platforms for DXR. He/she will contribute towards the innovation of AI solutions and explore different internal and external providers, work on associated processes and procedures, participate and lead the innovation studios, develop, maintain technology inventory along while keeping the focus on execution. They should prepare proposals and alternatives, guiding towards the optimum balance of short and long-term requirements.

Qualification:

Apply here for the job.

Location: Chennai

Roles and Responsibilities: As a data scientist- manufacturing intelligence at Pfizer Limited, the candidate is expected to provide expert advanced modeling and data analytics support to all teams in the manufacturing intelligence organization and support project execution at manufacturing sites. He/she should translate business requirements into tangible solution specifications and high-quality on-time deliverables. They should leverage data manipulation/transformation, model selection, model training, cross-validation, and deployment support at scale.

Qualification:

Apply here for the job.

Location: Bangalore (WFH during Covid)

Roles and Responsibilities: General Motors expects its senior/lead engineer- ME automation (artificial intelligence) to propose and implement high-impact data and analytic solutions that address business challenges across a variety of manufacturing business units. The candidate should plan and execute projects including direction and oversight of technical work of associate data scientists. They should work with diverse technical teams and provide data and analytic oversight to ensure project deliverables that fulfill business needs and timing.

Qualification:

Apply here for the job.

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Top Artificial Intelligence Jobs in MNCs to Apply this Nov Weekend - Analytics Insight