Associate Staff Engineer, Generative AI

Gurugram, India

Nagarro

A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.

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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 (18000+ experts across 38 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 5+years.
  • Deep understanding of Generative AI fundamentals and transformer-based architectures.
  • Deep understanding of Natural Language Processing (NLP) and experience with models like GPT, BERT, T5, etc.
  • Strong working experience in Python and key ML libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
  • Hands-on experience with prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.
  • Experience deploying models on cloud platforms such as AWS, GCP, or Azure, and knowledge of MLOps best practices.
  • Collaborate with product managers, data scientists, and engineering teams to deliver AI-powered solutions.
  • Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD for ML pipelines.
  • Strong analytical, problem-solving, and communication skills.

RESPONSIBILITIES:

  • Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
  • Mapping decisions with requirements and be able to translate the same to developers.
  • Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
  • Defining guidelines and benchmarks for NFR considerations during project implementation
  • Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
  • Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
  • Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
  • Understanding and relating technology integration scenarios and applying these learnings in projects
  • Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
  • Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Azure BERT CI/CD Computer Science Docker Engineering GCP Generative AI GPT Kubernetes Machine Learning MLOps NLP Pipelines Prompt engineering Python PyTorch RAG Security TensorFlow Transformers

Region: Asia/Pacific
Country: India

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