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Tier-1 employer, popular fullstack title, metro location and broad AI/MLOps skill requirements.
Requires specific AI/MLOps and People Analytics experience, reducing cross-industry transferability.
Multiple mandatory technical skills and production/MLOps requirements but no explicit years specified.
Develop and deploy scalable internal People Analytics applications, APIs, and workflows that integrate ML and GenAI models into production environments.
Build and maintain CI/CD pipelines, automate testing and deployment, and manage application configurations across development, testing, and production.
Provide operational support including monitoring (availability, performance, errors), troubleshooting, and coordinating with IT for deployment and infrastructure-related issues.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, Engineering, or related field.
Professional experience in software engineering, analytics app development, DevOps, MLOps, or related domain.
Strong Python skills with experience in REST API development (FastAPI/Flask), internal app frameworks (Streamlit/Dash), CI/CD pipelines, containerization, and cloud deployment concepts.
Experience integrating authentication and role-based access control, implementing logging and monitoring, and troubleshooting applications in production environments.
Experienced in building AI/analytics products in enterprise or global matrixed organizations with collaboration across data scientists, IT, and business partners.
Able to balance scalability with rapid delivery, pragmatic about technology choices aligned to operational needs.
Familiar with cloud services (Azure/AWS), MLOps tools, GenAI integration, application security, and support of sensitive employee-level data applications.