Senior AI/ML Architect – GenAI & LLM

3iTech Global; Hyderabad; Hybrid; INR 2,500,000 - 3,600,000; Full time

Job summary

3iTech Global in Hyderabad, India, is hiring a hands-on Senior AI/ML Architect to design, train, fine-tune, and deploy enterprise-grade GenAI/LLM solutions. The role emphasizes scalable architectures, GPU optimization, and production-grade MLOps across cloud platforms.

You will lead end-to-end model training pipelines, deploy on AWS/Azure/GCP, and guide teams while staying actively involved in development to deliver robust AI systems.

Qualifications

• 10–15 years of technology experience.
• Hands-on background in AI/ML, GenAI, and LLM deployment.
• Experience on cloud platforms and production MLOps pipelines.
• Ability to lead architecture while contributing to development.

Responsibilities

• Architect and develop scalable AI/ML and GenAI solutions.
• Train and fine-tune open-weight LLMs using enterprise datasets.
• Implement LoRA, QLoRA, PEFT, and supervised fine-tuning techniques.
• Design end-to-end model training, evaluation, deployment, and monitoring pipelines.
• Deploy and host LLMs on AWS, Azure, or GCP.
• Optimize GPU infrastructure, inference performance, latency, and cost.
• Implement production-grade MLOps and model lifecycle management.
• Provide technical leadership while remaining actively involved in development.

Skills

Python

PyTorch

Hugging Face Transformers

LoRA

QLoRA

PEFT

SFT

Llama

Qwen

Mistral

Gemma

DeepSeek

AWS

Azure

GCP

vLLM

SGLang

TensorRT-LLM

TGI

MLflow

Weights & Biases

CI/CD

Docker

Kubernetes

GPU Computing

Job description

Position: Senior AI/ML Architect - GenAI & LLM

Work Model: Hybrid

Experience: 10–15 Years

Location: Hyderabad, India

3iTech Global is hiring an experienced, hands‑on Senior AI/ML Architect to design, train, fine‑tune, and deploy enterprise‑grade AI/ML and Large Language Models (LLMs).

We are looking for professionals who combine strong AI architecture expertise with practical implementation experience in Generative AI, LLM Fine‑Tuning, GPU Infrastructure, Cloud Deployment, and MLOps.

Key Responsibilities

• Architect and develop scalable AI/ML and GenAI solutions.
• Train and fine‑tune open‑weight LLMs using enterprise datasets.
• Implement LoRA, QLoRA, PEFT, and supervised fine‑tuning techniques.
• Design end‑to‑end model training, evaluation, deployment, and monitoring pipelines.
• Deploy and host LLMs on AWS, Azure, or GCP.
• Optimize GPU infrastructure, inference performance, latency, and cost.
• Implement production‑grade MLOps and model lifecycle management.
• Provide technical leadership while remaining actively involved in development.

Mandatory Technical Skills

• AI/ML: Python, PyTorch, Hugging Face Transformers
• LLM Fine‑Tuning: LoRA, QLoRA, PEFT, SFT
• LLM Models: Llama, Qwen, Mistral, Gemma, DeepSeek
• Cloud: AWS / Azure / GCP
• Model Serving: vLLM, SGLang, TensorRT‑LLM, TGI
• MLOps: MLflow, Weights & Biases, CI/CD
• Infrastructure: Docker, Kubernetes, GPU Computing

Preferred Skills

RAG, Agentic AI, Vector Databases, Model Quantization, Ray, Databricks, Multimodal AI, and LLM Evaluation.

Ideal Candidate

• 10–15 years of overall technology experience.
• Strong hands‑on background in Machine Learning and Deep Learning.
• Proven experience in LLM training, fine‑tuning, and production deployment.
• Experience building scalable AI solutions on cloud infrastructure.
• Strong architecture, problem‑solving, and technical leadership capabilities.

This is a hands‑on AI/ML architecture opportunity for professionals passionate about building production‑ready AI systems.

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