Staff Engineer (Generative AI) - Careers at Nagarro
Nagarro
Staff Engineer (Generative AI) - Careers at Nagarro
Job Description
Staff Engineer (Generative AI) - Careers at Nagarro
Location: India, India | Job ID: REF54786V
Why Join Nagarro? Embrace a Caring Mindset where your well-being matters. Nagarro's culture prioritizes work-life harmony, mental health support, and personalized career coaching. As a Fluidic Enterprise, we offer seamless role transitions and agile project exposure, ensuring you're never stagnant. Global opportunities abound with 10,000+ employees across 30+ countries, opening doors to international assignments and cross-border collaborations. Enjoy competitive salaries, comprehensive health benefits, and learning stipends to fuel your AI expertise.
Digital Engineering Excellence: At Nagarro, we pioneer Generative AI solutions using state-of-the-art frameworks like TensorFlow, Stable Diffusion, and FastAPI for inference APIs. Design scalable models, optimize GPU-accelerated training with CUDA, and deploy production-ready AI features. Our engineers leverage NumPy, Pandas, and Scikit-learn for robust data pipelines, collaborating via Git workflows. Join a team that's redefining industries through ethical AI, from custom LLMs to diffusion models, all backed by our commitment to innovation and quality.
Your Impact at Nagarro: As a Staff Engineer, you'll architect generative models that power transformative products, fine-tune on massive datasets, and build RESTful services for real-world deployment. Collaborate with product and design teams to translate requirements into high-impact AI solutions. Monitor model performance, experiment with emerging techniques, and document best practices. Your work will shape client successes in sectors like healthcare, finance, and media, amplifying Nagarro's reputation as a top employer for Software Engineering Jobs. With a Bachelor's or Master's in Computer Science, step into a role where your Generative AI skills create lasting value. Apply now for Nagarro Careers and elevate your trajectory in a caring, fluidic, global powerhouse.
Role 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.) — 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.
Key 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 using PyTorch, TensorFlow, JAX, and Hugging Face
- Collaborate with product, design, and engineering teams to 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
What You Bring (Qualifications)
- 6+ Years of experience
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
- Strong proficiency in Python and ML frameworks
- Experience with Generative AI / Deep Learning (Transformers, etc.)
Core Skills
Python (OOP, data structures, async programming), PyTorch and/or TensorFlow, Hugging Face Transformers and Diffusers, Generative AI models (Transformers: GPT, BERT, T5; Diffusion models), Model training & fine-tuning on large datasets, Building inference APIs (FastAPI/Flask), GPU training and acceleration (CUDA, cuDNN), Git and collaboration workflows (PRs, Code reviews)
Why Nagarro? (Benefits)
- Caring Mindset: Personalized growth plans and well-being support in a family-like culture
- Fluidic Enterprise: Flexible roles and rapid career progression across dynamic projects
- Global Opportunities: Work with international teams and exposure to diverse markets
- Digital Engineering Excellence: Access to cutting-edge tools and continuous learning in AI/ML
- Collaborative Environment: Innovation-driven culture with code reviews and global collaboration
Locations
- India, India
Salary
Salary details available upon request
2,500,000 - 5,400,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python (OOP, data structures, async programming)intermediate
- PyTorch and/or TensorFlowintermediate
- Hugging Face Transformers and Diffusersintermediate
- Generative AI models (Transformers: GPT, BERT, T5; Diffusion models)intermediate
- Model training & fine-tuning on large datasetsintermediate
- Building inference APIs (FastAPI/Flask)intermediate
- GPU training and acceleration (CUDA, cuDNN)intermediate
- Git and collaboration workflows (PRs, Code reviews)intermediate
Required Qualifications
- 6+ Years of experience (experience)
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field (experience)
- Strong proficiency in Python and ML frameworks (experience)
- Experience with Generative AI / Deep Learning (Transformers, etc.) (experience)
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 using PyTorch, TensorFlow, JAX, and Hugging Face
- Collaborate with product, design, and engineering teams to 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
Benefits
- general: Caring Mindset: Personalized growth plans and well-being support in a family-like culture
- general: Fluidic Enterprise: Flexible roles and rapid career progression across dynamic projects
- general: Global Opportunities: Work with international teams and exposure to diverse markets
- general: Digital Engineering Excellence: Access to cutting-edge tools and continuous learning in AI/ML
- general: Collaborative Environment: Innovation-driven culture with code reviews and global collaboration
Tags & Categories
Answer 10 quick questions to check your fit for Staff Engineer (Generative AI) - Careers at Nagarro @ Nagarro.
Related Books and Jobs
Staff Engineer (Generative AI) - Careers at Nagarro
Nagarro
Staff Engineer (Generative AI) - Careers at Nagarro
Job Description
Staff Engineer (Generative AI) - Careers at Nagarro
Location: India, India | Job ID: REF54786V
Why Join Nagarro? Embrace a Caring Mindset where your well-being matters. Nagarro's culture prioritizes work-life harmony, mental health support, and personalized career coaching. As a Fluidic Enterprise, we offer seamless role transitions and agile project exposure, ensuring you're never stagnant. Global opportunities abound with 10,000+ employees across 30+ countries, opening doors to international assignments and cross-border collaborations. Enjoy competitive salaries, comprehensive health benefits, and learning stipends to fuel your AI expertise.
Digital Engineering Excellence: At Nagarro, we pioneer Generative AI solutions using state-of-the-art frameworks like TensorFlow, Stable Diffusion, and FastAPI for inference APIs. Design scalable models, optimize GPU-accelerated training with CUDA, and deploy production-ready AI features. Our engineers leverage NumPy, Pandas, and Scikit-learn for robust data pipelines, collaborating via Git workflows. Join a team that's redefining industries through ethical AI, from custom LLMs to diffusion models, all backed by our commitment to innovation and quality.
Your Impact at Nagarro: As a Staff Engineer, you'll architect generative models that power transformative products, fine-tune on massive datasets, and build RESTful services for real-world deployment. Collaborate with product and design teams to translate requirements into high-impact AI solutions. Monitor model performance, experiment with emerging techniques, and document best practices. Your work will shape client successes in sectors like healthcare, finance, and media, amplifying Nagarro's reputation as a top employer for Software Engineering Jobs. With a Bachelor's or Master's in Computer Science, step into a role where your Generative AI skills create lasting value. Apply now for Nagarro Careers and elevate your trajectory in a caring, fluidic, global powerhouse.
Role 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.) — 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.
Key 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 using PyTorch, TensorFlow, JAX, and Hugging Face
- Collaborate with product, design, and engineering teams to 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
What You Bring (Qualifications)
- 6+ Years of experience
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
- Strong proficiency in Python and ML frameworks
- Experience with Generative AI / Deep Learning (Transformers, etc.)
Core Skills
Python (OOP, data structures, async programming), PyTorch and/or TensorFlow, Hugging Face Transformers and Diffusers, Generative AI models (Transformers: GPT, BERT, T5; Diffusion models), Model training & fine-tuning on large datasets, Building inference APIs (FastAPI/Flask), GPU training and acceleration (CUDA, cuDNN), Git and collaboration workflows (PRs, Code reviews)
Why Nagarro? (Benefits)
- Caring Mindset: Personalized growth plans and well-being support in a family-like culture
- Fluidic Enterprise: Flexible roles and rapid career progression across dynamic projects
- Global Opportunities: Work with international teams and exposure to diverse markets
- Digital Engineering Excellence: Access to cutting-edge tools and continuous learning in AI/ML
- Collaborative Environment: Innovation-driven culture with code reviews and global collaboration
Locations
- India, India
Salary
Salary details available upon request
2,500,000 - 5,400,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python (OOP, data structures, async programming)intermediate
- PyTorch and/or TensorFlowintermediate
- Hugging Face Transformers and Diffusersintermediate
- Generative AI models (Transformers: GPT, BERT, T5; Diffusion models)intermediate
- Model training & fine-tuning on large datasetsintermediate
- Building inference APIs (FastAPI/Flask)intermediate
- GPU training and acceleration (CUDA, cuDNN)intermediate
- Git and collaboration workflows (PRs, Code reviews)intermediate
Required Qualifications
- 6+ Years of experience (experience)
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field (experience)
- Strong proficiency in Python and ML frameworks (experience)
- Experience with Generative AI / Deep Learning (Transformers, etc.) (experience)
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 using PyTorch, TensorFlow, JAX, and Hugging Face
- Collaborate with product, design, and engineering teams to 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
Benefits
- general: Caring Mindset: Personalized growth plans and well-being support in a family-like culture
- general: Fluidic Enterprise: Flexible roles and rapid career progression across dynamic projects
- general: Global Opportunities: Work with international teams and exposure to diverse markets
- general: Digital Engineering Excellence: Access to cutting-edge tools and continuous learning in AI/ML
- general: Collaborative Environment: Innovation-driven culture with code reviews and global collaboration
Tags & Categories
Answer 10 quick questions to check your fit for Staff Engineer (Generative AI) - Careers at Nagarro @ Nagarro.
Related Books and Jobs