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Associate Architect - Machine Learning (Azure)
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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!
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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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