AIML Engineer Stefanini North America and APAC
Stefanini North America and APAC
Office Location
Full Time
Experience: 3 - 3 years required
Pay:
Salary Information not included
Type: Full Time
Location: Noida
Skills: Data Privacy, data security, Data monitoring, advanced analytics, Identity, Access management, Python, SQL, natural language processing, Computer Vision, Azure platform, Azure DevOps CICD, AIML Solutions, ITIL Service Management, Azure OpenAI integration, CICD pipelines, AIML workspaces, Vector Databases, data scientists, Data analysts, DA team, Azure AIML workspace, Azure Container Apps, Kubernetes services, Machine learning lifecycle, Azure DevOps pipelines, Azure cloudbased infrastructure, machine learning concepts, Azure ML operations, REST APIs, SDKs, Azure Cognitive Services, Azure Machine Learning, Knowledge mining, Azure OpenAI, Speech, conversational AI
About Stefanini North America And APAC
Job Description
Title: Azure Machine Learning Support Engineer Responsibilities: Support and Implement machine learning solutions on the Azure platform, integrating Azure DevOps CI/CD for streamlined deployment Support and maintain AIML solutions with standard ITIL service management framework including enhancement and incident tickets Support and maintain AIML solutions involving wider Azure OpenAI integration, model deployment, CICD pipelines, AIML workspaces and Vector databases such as Qdrant Ensure compliance with data privacy and data security requirements and implement best practices for secure access and usage monitoring of the AIML services deployed Collaborate with data scientists, analysts, and wider D&A team to support and main day to day RUN operations in Advanced analytics/AIML area Manage Azure AI/ML workspace, Azure Container Apps (ACA), Kubernetes services, and Identity and Access Management (IAM) for secure and efficient operations in collaboration with Infrastructure team Manage the end-to-end machine learning lifecycle, ensuring continuous integration and delivery using Azure DevOps pipelines. Qualifications/Experience needs: Experience in supporting Azure cloud-based infrastructure Knowledge of machine learning concepts and familiarity with Azure ML operations (MLOps). Background in machine learning, data analysis, and programming. Knowledge of Python and SQL, and experience with Azure DevOps CI/CD practices. Experience developing solutions using REST APIs and SDKs. Working Knowledge of Azure Cognitive Services, Azure Machine Learning, Azure Devops CICD development, knowledge mining, and Azure OpenAI, natural language processing, speech, computer vision, and conversational AI etc Certification/Preferred Requirements: Primary Microsoft Certified: Azure AI Engineer Associate Secondary Preference Advantageous- work experience as Azure DevOps Engineer or Azure Admin Associate equivalent experience,