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We are seeking a highly motivated individual, the best of the bests talent to join our team as a entry level Graduate AI Engineer. We welcome new graduates as well as experienced professionals who have the passion, curiosity, ability, and determination to be the best ML or AI engineer. Responsibilities: Design, develop, and deploy machine learning models and AI algorithms for complex and unique datasets, using various techniques such as mathematical modeling, scikit-learn, NLP, CNN, RNN, DL, RL, Video Transformers, GAN, LLM, SLM, RAG, prompt engineering, GPT, AI Agent, Foundation Models, GPT, MCP, VLM, and VLA Collaborate with cross-functional teams to extract insights, identify business opportunities and provide data-driven recommendations Stay up-to-date with the latest machine learning and AI techniques and tools Communicate complex technical concepts to non-technical stakeholders in an easy-to-understand manner Responsible for dataset curation, data collection, ground truth annotation, quality control audit and human-in-the-loop validation Be the front line to work closely with end customers on developing and delivering customized complex software solutions as a Forward Deployed Engineer (FDE) Requirements: Bachelor's degree or higher in Artificial Intelligence, Computer Science, Mathematics, Statistics, Actuarial Science, Informatics, Information Science or related fields Strong analytical skills and attention to detail Participation in Kaggle, Mathematics Olympiad or similar competitions is a plus Active involvement in public code repository is a plus Excellent programming skills in Python, R, Java, or C++ Familiar with ML frameworks such as Tensorflow, Keras, PyTorch, MLFlow, AutoML, TensorRT, CUDA, HuggingFace, LangChain, LlamaIndex, LoRa/QLoRa, AI Agents, RAG, OpenClaw Excellent communication and collaboration skills Experience with designing, training, and deploying machine learning models Customer centric and committed to deliver the best AI results to customers Mindset of a forward deploy engineer (FDE) As a AI Engineer, you will receive guidance from experienced senior AI specialists and have opportunities for professional growth and advancement within the company. We also encourage vibe coding and context engineering, use of agentic coding to achieve 10x efficiency. Possible future career paths after 2 years include Senior Machine Learning Engineer, AI Architect, AI Team Lead, Data Scientist, Data Architect, Data Lead, Research Engineer, Senior Research Engineer. Please note that this position is only for the best of the bests, and we expect candidates to have a strong mathematical background, fundamental AI concepts and the grit to solve complex problems. If you believe you have what it takes to excel in this challenging position, apply now. Fresh Graduates are encouraged to apply! Experienced professionals with 1-2 years of working experience are welcomed too, and the remuneration package will be discussed during the interview process and will be determined at the company’s discretion.
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.