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March 9, 2022

Asia-Pacific hotspot for food industry’s hiring for machine learning

When looking at the cities where jobs were being advertised, three cities in India featured in the top four.

By Michael Goodier

Asia-Pacific was the fastest-growing region in the food industry’s hiring for jobs related to machine learning in the three months ending December, according to GlobalData analysis.

The number of roles in Asia-Pacific made up 26.9% of total machine learning jobs – up from 17.7% in the same quarter of 2020.

GlobalData tracks the number of new job postings from key companies in various sectors over time. Using textual analysis, these job advertisements are then classified thematically.

The company seeks to group key company information by topic to see which companies are best placed to weather the disruptions coming to their industries.

By tracking the topics across job ads, it shows which companies are leading the way on specific issues and which are dragging their heels – and importantly where the market is expanding and contracting.

The country that saw its share of the hiring for roles related to machine learning was India, which accounted for 20.3% of adverts in the three months ending December, compared to 8.2% in the corresponding period a year earlier.

Overall, the top country adverts placed for this type of roles in the food industry was the United States, which made up 38% of the jobs advertised in the quarter under review.

Measured by city, some 7.7% of all food-industry machine-learning roles were advertised in the Indian city of Bengaluru in the three months ending December – more than any other city.

That was followed by Plano in the US with 7.7% and then two other cities in India – Hyderabad with 5.5% and Mumbai with 4.8%.

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