Associate Principal Engineer, Generative AI

Remote, 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 (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 management, 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.

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

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Tags: Architecture Computer Science Computer Vision DevOps Engineering FAISS GANs Generative AI JAX Machine Learning ML models MLOps NLP OpenCV Pinecone Prompt engineering Python PyTorch RAG TensorFlow Transformers

Perks/benefits: Career development

Regions: Remote/Anywhere Asia/Pacific
Country: India

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