Architect - Machine Learning (Azure)

Quantiphi; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Quantiphi is looking for an Associate Architect – Machine Learning (Azure) in Bengaluru. In this role, you will architect and deploy machine learning solutions, manage the ML lifecycle, and ensure adherence to best practices on Azure. The ideal candidate will have extensive experience in machine learning algorithms, strong Python skills, and familiarity with Azure cloud services. Join us to innovate in a collaborative and growth-oriented environment.

Qualifications

• 6-14 years experience in machine learning and architecture.
• Proven expertise in machine learning algorithms and models.
• Strong coding skills in Python.

Responsibilities

• Architect, develop, and deploy machine learning solutions.
• Lead end-to-end machine learning lifecycle.
• Optimize existing models using traditional methods.
• Ensure adherence to MLOps practices on Azure.

Skills

Architecting ML solutions

End-to-end ML lifecycle management

Traditional ML algorithms

Python coding skills

Azure cloud services

MLOps best practices

Model lifecycle management

Collaboration with teams

Tools

Azure Machine Learning

scikit-learn

XGBoost

LightGBM

Job description

Associate Architect – Machine Learning (Azure)

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!

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.