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THE WORK: Explore new horizons and inspire innovation. You will collaborate and manage the team to perform effectively, engage with multiple teams, and contribute to key decisions. You will provide solutions to challenges for your immediate team and across multiple teams, all while reflecting a deep passion for Artificial Intelligence. Join us in shaping the future with your expertise and enthusiasm. Design and develop artificial intelligence and machine learning systems leveraging existing cloud AI services. Build scalable data pipelines to support model training and production with DevOps and machine learning operations. Customize and apply deep learning and generative artificial intelligence models based on business needs, data availability, and system requirements. Conduct research and development of new artificial intelligence and high-performance compute algorithms, models, and simulations. Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production. Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools. HERE'S WHAT YOU WILL NEED: Master proficiency in Artificial Intelligence. Expert proficiency in Generative AI Agents. A minimum of 2 of experience in relevant related skills. Master's Degree in relevant field of studies BONUS POINTS IF YOU HAVE: Expert proficiency in Generative AI Expert proficiency in Machine Learning Advanced proficiency in Data Science Advanced proficiency in Natural Language Processing Intermediate proficiency in Algorithm Development
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.