NetWeb Software Pvt. Ltd.

**Job Title:** Lead AI/ML Engineer

**Experience:** 6–10 Years

**Location:** As per requirement

Job Description

We are looking for a Lead AI/ML Engineer with experience in designing, developing, and deploying advanced AI/ML solutions, with strong expertise in Generative AI, Large Language Models (LLMs), Computer Vision, and AI platform architecture.

Responsibilities

Lead the architecture, design, and implementation of enterprise-scale AI/ML solutions.

Define and drive the AI/ML roadmap aligned with business objectives and product strategy.

Provide technical leadership and mentorship to AI/ML engineers and data scientists.

Develop Generative AI applications using LLMs such as GPT, LLaMA, Gemini, or custom models.

Build and optimize Retrieval-Augmented Generation (RAG) pipelines.

Lead LLM fine-tuning, prompt engineering, and model optimization initiatives.

Design AI agent architectures using LangChain, LangGraph, and LlamaIndex.

Develop and deploy NLP, Computer Vision, and multimodal AI models.

Design scalable AI infrastructure and MLOps pipelines for model training, deployment, and monitoring.

Deploy AI solutions across AWS, Azure, GCP, or hybrid/on-premise environments.

Build APIs, microservices, and pipelines to integrate AI capabilities into enterprise applications.

Optimize AI systems for latency, scalability, cost, and resource efficiency.

Collaborate with Product, Engineering, and Data teams to define AI-powered product features.

Required Skills

Python

Machine Learning: Regression, Classification, Clustering, SVMs, Neural Networks

Generative AI and Large Language Models (LLMs)

LLM Training, Fine-tuning, Prompt Engineering, Model Optimization

Retrieval-Augmented Generation (RAG)

AI Agents: LangChain, LangGraph, LlamaIndex

NLP and Computer Vision

Transformers, OpenCV, YOLO, R-CNN

PyTorch, TensorFlow, Keras

API Development and Microservices

AWS, Azure, GCP

MLOps, Model Serving, AI Lifecycle Management

Vector Databases (FAISS, Pinecone, ChromaDB, Weaviate)

LLM Inference Optimization

AI Platform Architecture

Leadership and Team Mentoring

Strong Communication and Problem-Solving Skills

Good to Have

Multimodal AI (Text, Image, Video, Speech)

Docker, Kubernetes

FastAPI, Flask, NVIDIA Triton

Distributed Training

Large-Scale Model Training Pipelines

Required Qualifications

6–10 years of experience in AI/ML development and deployment.

Hands-on experience with Python, Generative AI, LLMs, RAG, LLM fine-tuning, Prompt Engineering, LangChain, LangGraph, LlamaIndex, NLP, Computer Vision, Transformers, OpenCV, YOLO, R-CNN, PyTorch, TensorFlow, Keras, API Development, Microservices, AWS, Azure, GCP, MLOps, Model Serving, Vector Databases, and LLM Inference Optimization.

ME (IT, Computer), BE (IT, Computer), MCA, MSC-IT, BCA.

Strong leadership, communication, analytical, interpersonal, and problem-solving skills.

Pay: ₹2,400,000.00 - ₹3,200,000.00 per year

Work Location: In person