American Express is seeking a Mid-Level AI/ML Engineer to develop data access security controls and integrate AI solutions for monitoring access to data. The role requires collaboration with various teams to build data pipelines and analytics dashboards using Microsoft technologies.
Verified Job On Employer Career Site Job Summary: American Express is a company with a long history of innovation and commitment to its customers and employees. They are seeking a Senior AI/ML Engineer to architect and engineer data access security controls for managing the organization's data estate, focusing on semi-structured and unstructured data. The role involves collaborating with various teams to develop data pipelines and integrate AI solutions for access monitoring and alerting. Responsibilities: • Develop and manage pipelines to extract, transform, and load (ETL) Microsoft 365 data into Azure data stores. • Use Microsoft Graph Data connect to aggregate SharePoint permissions, store data in Azure storage and create analytics dashboard using Power BI. • Create data pipelines using Azure Synapse. • Collaborating with data scientists and other teams to deploy and scale M365 access security models. • Build and integrate AI Agents into access attestation solutions • Combining data engineering skills with knowledge of AI/ML algorithms to build intelligent Access review systems. • Integrate data from various sources (APIs, logs, third-party systems) into centralized repositories. • Use GenAI to implement access monitoring and alerting rules for Database access logs and M365 access logs. Qualifications: Required: • Bachelor’s degree in computer science, Data Science, AI, or a related field • 6+ Years of hands-on experience • Strong experience using Microsoft Graph data connect • Experience with Microsoft Fabric, Azure Synapse, and Azure Data Factory • Expertise in data pipelines, ETL/ELT processes, database management (SQL and NoSQL) • Strong programming skills in languages like Python, C#, PowerShell or Java • Familiarity with Azure services and cloud-based data storage and processing • Experience building and deploying autonomous AI agents • MLOps experience: Familiarity with MLOps tools and practices for model deployment and management • Knowledge of big data tools and technologies for processing large datasets • Experience with developing ML models that use natural language processing (NLP) Preferred: • Power App / Power Automate experience automating workflows in M365 Company: American Express is a financial services company that provides credit cards, charge cards, payment solutions, and related services. Founded in 1850, the company is headquartered in New York, New York, USA, with a team of 10001+ employees. The company is currently Public Company. American Express has a track record of offering H1B sponsorships.
American Express is seeking a Mid-Level AI/ML Engineer to develop data access security controls and integrate AI solutions for monitoring access to data. The role requires collaboration with various teams to build data pipelines and analytics dashboards using Microsoft technologies.