AI/ML Architect in Bangalore, भारत

Position : AI/ML ArchitectLocation : BangaloreJob Summary : We are seeking an experienced and visionary AI/ML Architect to lead the end-to-end design, development, deployment, and operationalization of advanced AI/ML and Generative AI (GenAI) solutions on cloud platforms. The ideal candidate will possess deep technical expertise in ML architecture, GenAI frameworks, Retrieval-Augmented Generation (RAG) pipelines, cloud-native deployment, and MLOps practices. You will work closely with cross-functional teams, clients, and engineering teams to define scalable AI strategies and deliver cutting-edge solutions across various https://jobeax.com/link/cZ8zpMXwj45ivho4 Responsibilities : Customer Engagement & Solution Architecture : - Interact with clients and stakeholders to gather business and technical requirements and translate them into scalable AI/ML solutions.- Architect and design AI/ML systems across AWS, GCP, or Azure with a strong focus on cloud-native and cost-optimized architecture.- Create detailed system design documents, architecture diagrams, and technical roadmaps.- Define data architecture, storage, and retrieval strategies tailored to AI/ML workflows.- Lead the design and implementation of Generative AI solutions using LLMs, LangChain, LlamaIndex, Prompt Engineering, and vector databases such as Pinecone, FAISS, Weaviate, or Elasticsearch.- Architect RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases including knowledge management, chatbot development, and document summarization.- Implement prompt orchestration, retrieval optimization, and grounding techniques to enhance LLM output accuracy and relevance.- Guide the development of Python-based APIs, data preprocessing workflows, and model training pipelines.- Design and implement robust CI/CD pipelines for ML model deployment using tools like SageMaker, Vertex AI, or Azure ML.- Define and implement model monitoring, retraining, and performance management strategies for production-grade ML systems.- Ensure best practices in versioning, reproducibility, model lineage, and auditability (MLOps/LLMOps).- Review and approve system designs, PoCs, and implementation approaches.- Provide hands-on leadership and mentorship to data scientists, ML engineers, and software developers.- Lead architectural decision-making, code quality reviews, and sprint grooming sessions.- Champion best practices in security, compliance, scalability, and performance optimization for AI/ML https://jobeax.com/link/qVQYcn8zRo6FsrUo Qualifications : - 9+ years of overall IT experience in designing, developing, deploying, and operationalizing AI/ML solutions.- Minimum 3 years of experience in architecting end-to-end AI/ML solutions, including design, implementation, and production deployment.- Proven experience in GenAI, LLMs, RAG architecture, prompt engineering, and orchestration tools like LangChain, LlamaIndex, etc.- Hands-on with vector databases (e.g., Pinecone, FAISS, Elasticsearch) and unstructured data retrieval.- Deep knowledge of Machine Learning and Deep Learning algorithms : CNNs, RNNs, LSTMs, Transformers, etc.- Experience in Natural Language Processing (NLP), including language modeling, summarization, classification, and NER.- Strong expertise in Python, with frameworks like PyTorch, TensorFlow, HuggingFace, NumPy, and Pandas.- Demonstrated experience in designing cloud-native AI/ML solutions on AWS, GCP, or Azure.- Skilled in deploying models via services like SageMaker, Vertex AI, Azure ML, or using containers and Kubernetes.- Solid understanding of MLOps/LLMOps lifecycle : pipeline automation, model registry, monitoring, CI/CD.- Excellent communication, leadership, and stakeholder management skills. (ref:hirist.tech)