👋🏼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!

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.) — 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

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.