Associate Architect - Machine Learning (Azure Cloud)

Role : Associate Architect - Machine Learning (Azure Cloud)

Experience : 6-13 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.