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Associate Principal Engineer, Generative AI at Nagarro. Location Information: Remote, India. . 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 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!. Job Description. REQUIREMENTS:. Total experience. :. 11+ years.. Strong working experience in Machine Learning, with strong focus on NLP and AI-driven solutions.. Expert in. . Python. ,. with deep knowledge of TensorFlow, . PyTorch. , or JAX.. Strong grasp of NLP techniques including tokenization, word embeddings, attention, transformers, etc.. Hands-on experience with Generative AI (GANs, VAEs, RAG) and. . Prompt Engineering.. Solid background in Computer Vision and image processing tools like OpenCV.. Experience deploying ML models to production and monitoring them in real-world environments.. Familiarity with vector databases (e.g., FAISS, Pinecone) and semantic search techniques.. Proven leadership in data science team managemen. t. , mentoring, and strategic delivery.. Strong knowledge of. . MLOps. , DevOps, and scalable architecture patterns.. Excellent problem-solving, communication, and analytical skills.. RESPONSIBILITIES:. Understanding functional requirements thoroughly and analyzing the client’s needs in the context of the project. Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it. Determining and implementing design methodologies and tool sets. Enabling application development by coordinating requirements, schedules, and activities.. Being able to lead/support UAT and production roll outs. Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it. Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement. Giving constructive feedback to the team members and setting clear expectations.. . . Qualifications. Bachelor’s or master’s degree in computer science, Information Technology, or a related field.. .