Architect - Machine Learning (Azure)

Quantiphi Analytics Solutions Private Limited; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Quantiphi Analytics Solutions Private Limited seeks an innovative Associate Architect - Machine Learning (Azure) with 8–14 years of experience in Bangalore. The role focuses on designing, developing, and deploying high-impact ML solutions on Azure, leading cross-functional teams, and delivering production-grade systems including multi-agent and computer vision capabilities.

The ideal candidate will own end-to-end ML lifecycle, mentor teams, implement MLOps best practices, and leverage Azure

Qualifications

• Proven experience architecting, developing, and deploying ML solutions at scale.
• Lead end-to-end ML lifecycle from data prep to deployment and monitoring.
• Provide technical leadership and architecture guidance to teams.
• Experience designing multi-agent systems and orchestrator-led workflows.
• Experience with Azure ML, Data Factory, Blob Storage, DevOps and Container Apps.

Responsibilities

• Lead design, development, and deployment of data-driven solutions on Azure cloud infrastructure.
• Architect complex systems including multi-agent platforms and computer vision solutions.
• Provide technical leadership to cross-functional teams on ML projects.
• Design and implement robust ML pipelines and production-grade ML lifecycle management.

Skills

ML Architecture

Azure ML

Deep Learning

MLOps

Azure Data Factory

Azure Blob Storage

Azure DevOps

Azure Container Apps

RAG pipelines

Azure Cognitive Search

Agentic design patterns

Model lifecycle management

Tools

Azure OpenAI Service

Azure Cognitive Search

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 : 8- 14 Years Location: Bangalore Job Summary We are seeking an innovative and experienced Machine Learning Engineer at Architect level with a strong foundation in both traditional data science and modern Generative AI.

The ideal candidate will lead the design, development, and deployment of high-impact, data-driven solutions on our Azure cloud infrastructure. You will be responsible for architecting complex systems, including multi-agent platforms and computer vision solutions, optimizing legacy models, and providing technical leadership to cross-functional teams to solve challenging business problems.

Must-Have Skills & Experience:

• Proven experience architecting, developing, and deploying traditional and deep learning solutions at scale, from concept to production
• Lead end-to-end ML lifecycle including data preparation, feature engineering, model development, validation, deployment, and monitoring
• Provide technical leadership, mentorship, and architecture-level guidance to project teams
• Demonstrated expertise in designing and implementing complex multi-agent systems
• Experience with agentic design patterns such as supervisor-worker and orchestrator-led group chats to automate intricate business processes (e.g., invoice processing, document automation)
• Experience with data augmentation techniques and human-in-the-loop annotation processes for large-scale model training
• Evaluate and optimize existing models using traditional ML techniques.
• Proven expertise in traditional ML algorithms (regression, decision trees, SVM, ensemble models, clustering, Random Forest, XGBoost)
• Deep understanding of ML pipeline orchestration and model lifecycle management with production-grade implementation experience
• Ensure adherence to MLOps best practices and drive implementation on Azure cloud
• Extensive experience in Azure cloud services including Azure Machine Learning, Azure Data Factory, Blob Storage, Azure DevOps, and Azure Container Apps
• 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
• 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
• Experience with evaluation, monitoring and observability frameworks for Agentic workflows.
• Experience designing fault-tolerant systems with robust error handling, fallback mechanisms, and state management for complex, multi-step AI workflows
• Ability to design and review ML architecture and system integration strategies with hands‑on experience in production deployments
• Certifications in Azure AI Engineer or Azure Solutions Architect
• Excellent problem‑solving, communication, and stakeholder management skills with experience presenting technical solutions to business stakeholders

Good to have skills:

• Collaboration skills with data scientists, data engineers, and product stakeholders to convert business requirements into scalable ML models
• Contributions to open‑source projects

If you like wild growth and working with happy, enthusiastic over‑achievers, you'll enjoy your career with us! Thank you for your interest in Quantiphi! We are a team that dreams together and collaborates to ensure success. We are currently looking for exceptional individuals who can join us and contribute to a fun, diverse and hybrid work culture. As a part of the Quantiphi family, you will get ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe.

Quantiphi is an award‑winning AI‑first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. We solve the toughest and most complex business problems with the latest and cutting‑edge technologies and to make this happen, we have a vibrant, diverse and talented set of professionals we proudly refer to as the Quantiphi family. Our culture is built on transparency, diversity, integrity, learning and growth. We are committed to provide our teams with an environment that helps them to learn, grow and flourish in their professional as well as personal lives.