Azure ML Engineer
Job Description
Azure Machine Learning Engineer:
Experience: 4.5 - 8 years
Location: Mumbai (Candidates from Mumbai preferred)
Essential Skills:
Python, Azure AI Studio, Azure Machine Learning (Azure ML), Lang Chain/ LlamaIndex, RAG & Prompt Engineering
Position Overview
● Develop and deploy AI solutions leveraging Azure Machine Learning, Azure AI Studio, and Azure AI Services.
● Create and implement Python-driven machine learning models utilizing Azure ML pipelines and SDKs.
● Incorporate pre-existing AI functionalities (Vision, Language, Speech, Document Intelligence) into organizational applications.
● Oversee AI workloads through Azure Monitor, Application Insights, and adhere to MLOps best practices.
● Continuously enhance model efficiency, cost-effectiveness, and dependability.
Key Responsibilities
● Proficient in Azure AI Studio, Azure ML Designer, and AutoML.
● Understanding of MLOps methodologies and tools like MLflow, Azure DevOps, or GitHub Actions.
● Microsoft certifications (e.g., Azure AI Engineer Associate) are advantageous.
● Programming: Strong command of Python is essential, including object-oriented programming concepts and coding best practices.
● AI Frameworks: Familiarity with large language model frameworks and libraries such as Google ADK, LangChain, LlamaIndex, or equivalent frameworks.
● AI Techniques: In-depth knowledge of RAG architectures, prompt engineering, model optimization, and performance assessment methodologies.
