Nagarro Staff Engineer (Generative AI) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Staff Engineer (Generative AI) Full-time Service Region: South Asia Company Description We're Nagarro We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500 experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Job Description Requirements Experience : 6+ Years Strong proficiency in Python (OOP, data structures, async programming). Experience with Generative AI / Deep Learning: Transformers (GPT, BERT, T5, etc.) Diffusion models (Stable Diffusion, etc.) â optional for some roles Tokenizers and embeddings Frameworks/Libraries: PyTorch and/or TensorFlow Hugging Face Transformers, Diffusers NumPy, Pandas, Scikit-learn Model training & fine-tuning on large datasets. Building inference APIs (FastAPI/Flask). Knowledge of GPU training and acceleration (CUDA, cuDNN). Version control (Git), Collaboration workflows (PRs, Code reviews). Responsibilities Design, develop, and optimize generative AI models (e.g., GPT-style, BERT, T5, Stable Diffusion). Implement and maintain data pipelines for training and fine-tuning models. Write high-quality, scalable Python code leveraging frameworks like PyTorch, TensorFlow, JAX, and Hugging Face. Collaborate with product, design, and engineering teams to understand requirements and deploy AI features into production. Build REST APIs and services for model inference (FastAPI, Flask, Django). Monitor and maintain deployed models (logging, versioning, performance tracking). Research and experiment with new AI techniques and tools to improve model performance. Document model design, APIs, and deployment procedures Qualifications Bachelors or masters degree in computer science, Information Technology, or a related field. Videos To Watch I'm interested I'm interested Imprint I'm interested Refer a friend share this job Share on LinkedIn&mini=true&source=SmartRecruiters&summary=Nagarro%20is%20looking%20for%3A%20Staff%20Engineer%20(Generative%20AI)%20in%20India%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000104468590-staff-engineer-generative-ai-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000104468590-staff-engineer-generative-ai-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6 Share on LinkedIn) Share on Facebook Share on Twitter.&via=SmartRecruiters&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000104468590-staff-engineer-generative-ai-%3Ftrid%3D33221b55-7baa-4189-992e-a7fac0c08950 Share on Twitter) Share via email&body=Nagarro%20is%20looking%20for%3A%20Staff%20Engineer%20(Generative%20AI)%20in%20India%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000104468590-staff-engineer-generative-ai- Share via email) Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. × Continue Staff Engineer (Generative AI) India, India Full-time I'm interested I'm interested

The role requires at least six years of experience and strong proficiency in Python, including object-oriented programming, data structures, and asynchronous programming. Experience with Generative AI and Deep Learning is essential, specifically with Transformers like GPT, BERT, and T5, as well as tokenizers and embeddings. Proficiency in frameworks and libraries such as PyTorch, TensorFlow, Hugging Face Transformers, NumPy, Pandas, and Scikit-learn is necessary. Candidates must have experience with model training and fine-tuning on large datasets, building inference APIs using FastAPI or Flask, and knowledge of GPU training and acceleration like CUDA and cuDNN. Version control with Git and collaboration workflows are also required. A Bachelor's or Master's degree in computer science, Information Technology, or a related field is a qualification for this position.