LARGE LANGUAGE MODEL (LLM) ARCHITECT – AI/ML

Vrinda International; Bengaluru; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

Vrinda International seeks an experienced LLM Architect / AI-ML Computational Scientist to design, develop, optimize, and deploy scalable AI/ML and Generative AI solutions.

The ideal candidate will have strong expertise in Machine Learning, LLMs, Deep Learning, cloud platforms, and MLOps/LLMOps, and will lead architectural decisions across enterprise applications.

Qualifications

• Experience designing, developing and deploying scalable AI/ML solutions.
• Strong expertise in LLMs, DL, cloud platforms.
• Experience with data pipelines for model training and production.

Responsibilities

• Design and optimize LLM and neural network architectures
• Develop and deploy ML, Deep Learning & GenAI solutions at scale
• Build scalable data pipelines for model training and production
• Work with large datasets, preprocessing and model evaluation
• Implement AI/ML solutions across cloud, distributed computing, HPC and edge environments
• Lead LLM integration with enterprise applications and systems
• Collaborate with business, engineering, architecture and UI teams
• Mentor team members and drive technical excellence
• Evaluate model performance and continuously improve scalability and reliability

Skills

Python

PyTorch

TensorFlow

LLM APIs

Generative AI

ML Ops

Distributed

Cloud platforms

System architecture

Education

15 Years Full-Time Education

Tools

MLOps tools

Job description

LARGE LANGUAGE MODEL (LLM) ARCHITECT – AI/ML

HIRING | LARGE LANGUAGE MODEL (LLM) ARCHITECT – AI/ML

Experience: 6–8 Years

Role: Large Language Model Architect / AI-ML Computational Scientist

Education: 15 Years Full-Time Education

ROLE OVERVIEW

We are looking for an experienced LLM Architect / AI-ML Computational Scientist to design, develop, optimize, and deploy scalable AI/ML and Generative AI solutions. The ideal candidate will have strong expertise in Machine Learning, LLMs, Deep Learning, cloud platforms, and MLOps/LLMOps .

KEY RESPONSIBILITIES

Design and optimize LLM and neural network architectures

Develop and deploy ML, Deep Learning & GenAI solutions at scale

Build scalable data pipelines for model training and production

Work with large datasets, preprocessing and model evaluation

Implement AI/ML solutions across cloud, distributed computing, HPC and edge environments

Lead LLM integration with enterprise applications and systems

Collaborate with business, engineering, architecture and UI teams

Mentor team members and drive technical excellence

Evaluate model performance and continuously improve scalability and reliability

MUST-HAVE SKILLS

Python & AI/ML frameworks such as PyTorch / TensorFlow

LLM APIs and Generative AI

ML/MLOps and production model deployment

Distributed computing & cloud environments

Strong system architecture and programming fundamentals