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Bengaluru (Work from customer location near airport) 8+ Yrs Job Description We are seeking a talented and motivated AI/ML Engineering Lead to join our team and lead a specialized team of Machine Learning Engineers and Generative AI Engineers focused on automotive and manufacturing industry solutions. If you are passionate about leading AI-driven transformation in engineering domains, we want to hear from you. Requirements 8+ years in software development, 5+ years in ML/AI leadership, preferably in automotive or manufacturing. Machine Learning & Deep Learning: Python, TensorFlow, PyTorch, Scikit-learn; expertise in computer vision, time series forecasting, and simulation analysis. Generative AI & LLMs: Prompt engineering, fine-tuning, LangChain, LlamaIndex, RAG pipelines; experience with open-source and cloud LLMs (Azure OpenAI, Google Vertex AI). Engineering Domain Expertise: Knowledge of CAD, CAE, PLM software; experience with structured and unstructured engineering data. Applied Expertise: End-to-end AI solutions, scaling models to production, experimentation frameworks, and performance optimization. Experience leading teams on computer vision solutions and conversational AI for engineering operations. Solid understanding of AI ethics, model governance, and regulatory compliance in engineering domains. Education Qualification B.E/B.Tech in Computer Science, Mechanical Engineering, Mathematics, Statistics, Data Science or equivalent Master's degree in AI/ML or related engineering field preferred Ready to Join Us If you're excited about this prospect and believe you're the right fit, we'd love to hear from you. and take the next step in your career journey. .
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.