Associate Architect

3 weeks ago

Bengaluru India Quantiphi Analytics Solutions Private Limited Full time

Job Description While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi Role : Associate Architect - Machine Learning (Azure) Experience : 6- 14 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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