Associate Architect

3 days ago

Bengaluru, Karnataka, India Quantiphi Full time

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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

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