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About the Role We are looking for an AI Engineer with 2+ years of experience to develop, deploy, and research AI/ML solutions for real-world applications. The role involves a combination of AI engineering, experimentation, applied research, and technology development. Experience: 2+ Years Employment Type: Full time Location: Kanpur Key Responsibilities Design, develop, train, evaluate, and deploy AI/ML models and solutions. Build end-to-end AI pipelines from data preparation and experimentation to deployment and monitoring. Research and evaluate new AI/ML models, algorithms, architectures, and emerging technologies. Read and implement ideas from research papers and technical publications. Develop PoCs and prototypes to validate new AI/ML approaches. Benchmark models and approaches and optimize for accuracy, performance, scalability, and efficiency. Develop production-ready AI services and APIs using Python and relevant frameworks. Collaborate with engineering and domain teams to integrate AI solutions into products and platforms. Contribute to technical reports, research publications, patents, and internal R&D; initiatives, where applicable. Required Skills Solid proficiency in Python and good software engineering fundamentals. Solid understanding of Machine Learning and Deep Learning concepts. Hands-on experience with PyTorch, TensorFlow, scikit-learn, or equivalent frameworks. Experience in developing and deploying AI/ML models. Understanding of model evaluation, experimentation, and optimization. Familiarity with Generative AI, LLMs, Transformers, RAG, embeddings, or AI agents is desirable. Familiarity with Git, Linux, Docker, REST APIs, and cloud/GPU environments is preferred. Ability to read, understand, and implement research papers. Robust analytical, problem-solving, and research skills. Qualifications Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Electronics, or a related field. 2+ years of relevant professional experience in AI/ML or a related domain. Demonstrated experience with at least one end-to-end AI/ML project. Research publications, patents, open-source contributions, or significant AI/ML projects are a plus. .
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.