NOIDA · FULLTIME
Subject Matter Expert(SME) AI/ML
TechKnowledgeHub.org
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Section · 01
About this role
𝗪𝗲'𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴 | 𝗦𝘂𝗯𝗷𝗲𝗰𝘁 𝗠𝗮𝘁𝘁𝗲𝗿 𝗘𝘅𝗽𝗲𝗿𝘁 (𝗦𝗠𝗘) – 𝗔𝗜/𝗠𝗟 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: 𝗡𝗼𝗶𝗱𝗮 (𝗢𝗻𝘀𝗶𝘁𝗲) 𝗛𝗶𝗿𝗶𝗻𝗴 𝗧𝗵𝗿𝗼𝘂𝗴𝗵: 𝗧𝗲𝗰𝗵𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲𝗛𝘂𝗯 Are you passionate about building enterprise AI solutions and solving real-world business problems using Artificial Intelligence and Generative AI? We're looking for an 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝗱 𝗦𝘂𝗯𝗷𝗲𝗰𝘁 𝗠𝗮𝘁𝘁𝗲𝗿 𝗘𝘅𝗽𝗲𝗿𝘁 (𝗦𝗠𝗘) – 𝗔𝗜/𝗠𝗟 who can drive AI innovation, architect scalable solutions, and contribute to the development of next-generation AI applications. If you have hands-on experience with 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀), 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚), 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, 𝗡𝗩𝗜𝗗𝗜𝗔 𝗔𝗜 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀, 𝗮𝗻𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗔𝗜 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀, we'd love to hear from you. ━━━━━━━━━━━━━━━━━━━━ 𝗣𝗼𝘀𝗶𝘁𝗶𝗼𝗻 𝗦𝘂𝗯𝗷𝗲𝗰𝘁 𝗠𝗮𝘁𝘁𝗲𝗿 𝗘𝘅𝗽𝗲𝗿𝘁 (𝗦𝗠𝗘) – 𝗔𝗜/𝗠𝗟 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: 𝟮–𝟴 𝗬𝗲𝗮𝗿𝘀 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: 𝗡𝗼𝗶𝗱𝗮 (𝗢𝗻𝘀𝗶𝘁𝗲) ━━━━━━━━━━━━━━━━━━━━ 𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 1. Design and deploy end-to-end AI/ML and Generative AI solutions. 2. Build enterprise applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Prompt Engineering. 3. Develop scalable AI pipelines, APIs, and microservices. 4. Implement MLOps best practices for model deployment, monitoring, and lifecycle management. 5. Optimize AI workloads using NVIDIA GPU technologies. 6. Collaborate with engineering teams on AI architecture and solution design. 7. Evaluate emerging AI technologies and develop Proof of Concepts (PoCs). 8. Mentor developers and establish AI engineering best practices. ━━━━━━━━━━━━━━━━━━━━ 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 • Python • NumPy, Pandas, Scikit-learn • TensorFlow / PyTorch • NLP & Transformers • Computer Vision • Generative AI • Large Language Models (LLMs) • LangChain / LlamaIndex • Retrieval-Augmented Generation (RAG) • AI Agents • Prompt Engineering • REST APIs • Docker • Kubernetes • MLflow • AWS, Azure, or GCP • GPU Computing and AI Infrastructure ━━━━━━━━━━━━━━━━━━━━ 𝗣𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 • NVIDIA AI Enterprise • CUDA • TensorRT • NVIDIA NIM • Triton Inference Server • NVIDIA DGX Platform • Vector Databases (FAISS, Pinecone, Milvus, ChromaDB) • Enterprise AI Deployment • AI Security and Governance • NVIDIA or Cloud AI Certifications ━━━━━━━━━━━━━━━━━━━━ 𝗜𝗱𝗲𝗮𝗹 𝗖𝗮𝗻𝗱𝗶𝗱𝗮𝘁𝗲 • Strong hands-on experience delivering AI/ML and Generative AI solutions in production environments. • Excellent analytical and problem-solving skills. • Experience designing scalable enterprise AI solutions. • Strong understanding of MLOps, cloud-native AI deployments, and modern AI frameworks. • Passion for innovation, research, and emerging AI technologies. • Excellent communication and stakeholder management skills. ━━━━━━━━━━━━━━━━━━━━ If you're ready to work on cutting-edge AI technologies and contribute to enterprise-scale AI initiatives, we'd like to hear from you. To apply fill this form https://forms.gle/QhrjZvSM4nQQUmCSA Please share this opportunity within your network if you know someone who would be a great fit. #Hiring #AI #MachineLearning #GenerativeAI #LLM #RAG #AgenticAI #LangChain #LlamaIndex #NVIDIA #CUDA #TensorRT #Python #DeepLearning #ComputerVision #NLP #MLOps #Docker #Kubernetes #AWS #Azure #GCP #ArtificialIntelligence #AIJobs #NoidaJobs #HiringNow #TechKnowledgeHub
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Section · 02