Associate Architect

10 hours ago

bangalore district, India Quantiphi Full time

Role : Associate Architect - Machine Learning (Azure Cloud) Experience : 6-13 Years Location : Bangalore Must have skills: Architect, develop, and deploy traditional machine learning solutions at scale. Lead end-to-end ML lifecycle including data preparation, feature engineering, model development, validation, deployment, and monitoring. Evaluate and optimize existing models using traditional ML techniques. Proven expertise in traditional ML algorithms (regression, decision trees, SVM, ensemble models, clustering, etc.) Strong coding skills in Python with experience in ML libraries such as scikit-learn, XGBoost, LightGBM, etc. Solid grasp of data preprocessing, feature selection, and statistical modeling. Deep understanding of ML pipeline orchestration and model lifecycle management. Ensure adherence to MLOps best practices and drive implementation on Azure cloud. Experience in Azure cloud services including Azure Machine Learning, Azure Data Factory, Blob Storage, and Azure DevOps. Leveraged Azure Cognitive Search and Azure OpenAI Service to build scalable and efficient knowledge retrieval systems, enabling real-time semantic search and contextual answer generation. Ability to design and review ML architecture and system integration strategies. Conducted proof-of-concept projects utilizing Azure’s AI ecosystem to explore agentic AI capabilities, including autonomous decision-making and task delegation. Designed and implemented RAG pipelines on Microsoft Azure, integrating large language models (LLMs) with domain-specific knowledge bases to enhance AI-driven information retrieval and response accuracy. Collaborate with data scientists, data engineers, and product stakeholders to convert business requirements into scalable ML models. Provide technical leadership, mentorship, and architecture-level guidance to project teams. Excellent problem-solving, communication, and stakeholder management skills. Good to have skills: Certifications in Azure AI Engineer or Azure Solutions Architect. Ability to collaborate with cross-functional teams such as Developers, Project Managers, and other stakeholders to understand their requirements and implement solutions.

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