Quantiphi - Associate Architect - Machine Learning

Description :

- 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 Azures 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.