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(2-year fixed term contract with possibilities to extend contract or turn into permanent) Work as part of a cross-functional team with business units, operating teams, and technology functions across the Group Study actual operating processes across business units and countries, applying design thinking to understand user needs and identify improvement opportunities Lead and support AI initiatives, from framing the business problem through to a solution adopted in real operations Collect, structure, and manage data from existing operational and business systems to make it analysis-ready Apply AI and Machine Learning for process and value chain optimization, including predicting outcomes, identifying optimal operating conditions, and redesigning workflows Design and deliver enterprise solutions that connect operations, production, supply chain, and financial decisions into a single, enterprise-wide decision layer Deploy solutions into real-world use together with operating teams, and measure the results in financial terms Scale proven solutions across plants, business units, and countries to establish a world-class operating standard QUALIFICATIONS Bachelor’s degree or above in any Engineering discipline, Computer Science, Information Technology, Digital Technology, Data and Statistics, Financial Engineering, or other related fields Demonstrated strength in at least one area: programming and data analysis, AI / Machine Learning (including GenAI and computer vision), manufacturing processes, enterprise systems and ERP, financial modelling, or software development Strong methodology mindset, familiar with structured approaches such as design thinking, agile delivery, or process improvement frameworks Analytical mindset with the ability to translate business and operational problems into technical solutions Strong team player with excellent communication skills, able to collaborate cross-functionally with operating teams, business functions, and management Willingness to work in the field and to travel to plant locations, domestically and internationally, as required.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.