JD for Lead AI/ML Engineer Job Title: Lead AI/ML Engineer Job Purpose: We are seeking a highly experienced Lead AI/ML Engineer to drive the design, development, and deployment of advanced AI solutions across the organization. The Generative AI, Large Language Models (LLMs), Computer Vision, and AI platform architecture. As a Lead AI/ML Engineer, you will define AI strategy, architect scalable AI systems, and lead a team of engineers and data scientists to build production-ready AI solutions. You will play a critical role in translating business problems into innovative AI-driven products, leveraging technologies such as LLMs, Retrieval-Augmented Generation (RAG), AI agents, and multimodal AI systems. You will collaborate closely with Product, Engineering, and Data teams to build intelligent, scalable, and high-performance AI platforms that power next-generation Key Responsibilities: AI Strategy & Technical Leadership - Lead the architecture, design, and implementation of enterprise-scale AI/ML solutions. - Define and drive the AI/ML roadmap, ensuring alignment with business objectives and product strategy. - Provide technical leadership and mentorship to AI/ML engineers and data scientists. - Establish best practices for AI model development, experimentation, deployment, and monitoring. Generative AI & LLM Systems Gemini, or custom models. - Architect and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems. - Lead initiatives for LLM fine-tuning, prompt engineering, and model optimization. - Design AI agent architectures using frameworks like LangChain, LangGraph, and LlamaIndex. AI/ML Model Development: - Develop and deploy NLP, Computer Vision, and multimodal AI models for real-world - Implement advanced deep learning architectures using PyTorch, TensorFlow,



or Keras. - Identify and evaluate pre-trained and foundation models suitable for specific use cases. - Drive data preprocessing, feature engineering, and dataset curation for model training. AI Platform & Infrastructure Page 1 of 3 NetWeb Software Confidential - Design scalable AI infrastructure and MLOps pipelines for model training, deployment, and monitoring. - Deploy AI solutions across cloud platforms (AWS, Azure, GCP) or hybrid/on-premise environments. - Build APIs, microservices, and pipelines to integrate AI capabilities into enterprise - Lead efforts in model optimization, inference acceleration, and resource efficiency. Performance Optimization & Quality - Conduct model evaluation, benchmarking, and continuous performance optimization. - Optimize AI systems for latency, scalability, and cost efficiency. - Implement testing, monitoring, and observability frameworks for AI systems in production. Collaboration & Innovation - Work closely with Product, Engineering, and Data teams to define AI-powered product features. - Stay at the forefront of AI research and emerging technologies, evaluating their business impact. - Promote a culture of experimentation, innovation, and knowledge sharing within the AI team. Required Skills & Experience AI & Machine Learning - 6-10 years of experience in AI/ML development and deployment.



- Strong expertise in supervised and unsupervised learning techniques, including regression, classification, clustering, SVMs, and neural networks. Generative AI & LLMs - Hands-on experience with LLM training, fine-tuning, prompt engineering, and optimization. document intelligence systems. NLP & Computer Vision - Solid experience in Natural Language Processing and Computer Vision. - Hands-on expertise with Transformers, OpenCV, YOLO, and R-CNN architecture. AI Agents & Frameworks - Experience with multi-agent frameworks such as LangChain, LangGraph, and LlamaIndex. Deep Learning Frameworks - Proficiency in PyTorch, TensorFlow, or Keras. Programming - Strong programming skills in Python with experience in API development and microservices. Cloud & AI Infrastructure - Experience deploying AI models on AWS, Azure, or Google Cloud Platform. - Familiarity with MLOps pipelines, model serving, and AI lifecycle management. Vector Databases - Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate. Performance Optimization - Experience optimizing LLM inference for speed, cost, and memory efficiency. Leadership & Collaboration Confidential Page 2 of 3 NetWeb Software - Proven ability to lead AI projects and mentor engineering teams. - Strong communication skills with the ability to translate business requirements into AI solutions. Good to Have - Experience with multimodal AI (text, image, video, speech). - Familiarity with Docker, Kubernetes, and containerized AI deployment. - Experience with model serving frameworks such as FastAPI, Flask, or NVIDIA Triton. - Exposure to distributed training and large-scale model training pipelines. Qualifications: ME (IT, Computer), BE (IT, Computer), MCA, MSC-IT, BCA Re

📌 Lead Ai/ml Engineer (Vadodara)
🏢 Athena Learning Management System
📍 Vadodara