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Associate Architect - Machine Learning (Azure)
Quantiphi
Bengaluru, IND
Full-time
Senior · 6+ years experience
Onsite
Discovered 3 weeks ago
Pythonscikit-learnXGBoostLightGBMAzure Machine LearningAzure Data Factory
Free
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Key Skills for This Role
Pythonscikit-learnXGBoostLightGBMAzure Machine LearningAzure Data Factory
Full Job Posting
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.
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