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Job Description: Participate in the development of neural network, machine learning, NLP, and big data technologies for company products such as chatbots, search engines, and data analysis systems. Collect, clean, and prepare large-scale datasets for training AI models. Research and apply machine learning, deep learning, and big data technologies to build and enhance AI solutions. Evaluate model performance and propose optimization solutions. Develop and maintain AI related functions and features using C# and Python. Support other team members in projects and products implementation, particularly in integrating AI with big data technologies. Leverage and integration with AI services in cloud platforms, such as Google, AWS, Azure. Requirements: Bachelor’s degree in computer science, information technology, data science or a related field. Solid understanding of probability and statistics, discrete mathematics, and linear algebra. Knowledge of algorithms and data structures. Experience with at least one framework or library (e.g., TensorFlow, PyTorch) and one programming language (Python and C# preferred). Knowledge of big data processing tools like Hadoop and Spark, including concepts such as MapReduce and data parallelism. Strong learning attitude, enthusiasm for research and a passion for exploring new AI and big data technologies. Good communication skills and ability to work effectively in a team. Good English communication. Preferred: Experience participating in neural network, machine learning, NLP, big data related projects. Experience working with distributed databases, vector database and big data storage solutions. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .
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.