Architect - Machine Learning (Azure)

Quantiphi, Inc.; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A technology company is seeking an Associate Architect - Machine Learning to design and implement scalable ML solutions on Azure. Candidates should possess deep expertise in traditional ML algorithms, strong Python coding skills, and experience with Azure services. The role involves leading the ML lifecycle, optimizing models, and mentoring teams. This position offers opportunities for professional growth within a dynamic and collaborative environment.

Qualifications

• 6-14 years of experience in machine learning.
• Proven expertise in ML algorithms and coding skills.
• Understanding of Azure cloud services and MLOps.

Responsibilities

• Architect and deploy ML solutions at scale.
• Lead the ML lifecycle from data prep to model monitoring.
• Optimize existing models and implement best practices.

Skills

Architect traditional ML solutions

End-to-end ML lifecycle

Traditional ML algorithms

Python and ML libraries

MLOps best practices

Azure services

Design ML architecture

Problem-solving skills

Tools

Azure Machine Learning

scikit-learn

XGBoost

LightGBM

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.*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. If this excites you, explore our current openings and apply to any job roles that suit and interest you.