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AI/ML Engineer Revolutionize Semiconductor Design with AI! About the Role: Are you an AI/ML Engineer passionate about building next-generation AI solutions Do you enjoy solving complex problems in a fast-paced, innovation-driven environment where your work has a direct impact on the future of semiconductor design We are looking for a highly skilled and motivated AI/ML Engineer to develop and deploy advanced machine learning models across multiple data modalities, including graph, image, and time-series data. You will also play a key role in designing and fine-tuning agentic workflows powered by Large Language Models (LLMs), contributing to cutting-edge AI applications in semiconductor engineering. Required Skills & Qualifications: Strong understanding of deep learning concepts and hands-on experience building machine learning models.Proficiency in Python and leading ML frameworks such as PyTorch and TensorFlow.Experience with Graph Neural Networks (GNNs) is highly desirable.Hands-on experience with Large Language Models (LLMs), including prompt engineering, supervised fine-tuning, and agentic AI workflows.Bachelor's or Master's degree in Computer Science, Electronics, Mathematics, Artificial Intelligence, or a related field.4+ Years of relevant industry experience in AI/ML development. Key Responsibilities: Prepare and curate high-quality datasets from unstructured sources such as research papers, books, and web content by extracting text, images, and tables.Build and maintain knowledge graphs from diverse unstructured data sources.Develop and implement data augmentation and synthetic data generation techniques to improve model performance.Design and develop intelligent agentic workflows using Large Language Models.Create evaluation frameworks to measure the quality, consistency, and reliability of LLM-based systems.Deploy and optimize Large Language Models in on-premise environments.Collaborate with cross-functional engineering teams to integrate AI solutions into semiconductor design workflows. Desired Skills: PythonPyTorchTensorFlowNatural Language Processing (NLP)Prompt EngineeringLLM Fine-tuningGraph Neural Networks (GNN)Knowledge GraphsRetrieval-Augmented Generation (RAG)Machine Learning and Deep Learning Why Join Us Work on cutting-edge AI technologies that are transforming semiconductor design.Collaborate with a talented team of AI researchers, data scientists, and engineers.Build innovative products from the ground up and influence technical architecture and product strategy.Solve challenging real-world problems using state-of-the-art AI and machine learning techniques.Grow your career in a high-impact, fast-paced, and innovation-focused environment.If you're passionate about Deep Learning, Generative AI, Large Language Models, and building intelligent systems that solve complex engineering challenges, we'd love to hear from you. Connect us at shruthi.s@careerxperts.com .
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.