Lead and manage end-to-end Workday Recruiting implementations, enhance client relations, and mentor junior consultants while ensuring alignment with business needs.

The Linux Administrator will manage Linux systems including installation, configuration, and troubleshooting, using tools like Ansible and Git. They will also handle MySQL databases and web server configurations, and collaborate with the network team.

The MDM Specialist will design and implement master data management solutions, integrate AI workflows, and ensure data governance and quality across customer and vendor domains.

Design and implement production-grade AI models and algorithms, lead AI initiatives across organizations, enhance Agentic AI capabilities, and collaborate with teams to develop high-impact AI features.

Design and develop end-to-end web applications focusing on UI/UX and integrating data visualization. Collaborate on architecture, implement security, and optimize performance.

The AI Manager will lead a global team in AI project delivery, manage AI roadmaps, oversee LLMOps pipelines, and engage with stakeholders while ensuring compliance and performance metrics are met.

The AI/Automation Business Analyst gathers requirements for AI initiatives, designs automation workflows, and creates dashboards to support performance monitoring and optimization.

The AI QA Specialist will design and execute test strategies for AI systems, validate model outputs, implement monitoring dashboards, and ensure compliance with safety standards.

The role involves managing AI model lifecycles using GCP, implementing RAG pipelines, automating workflows, and ensuring AI observability and compliance.

Responsibility includes designing and developing Oracle EBS HRMS modules, customizing workflows, generating reports, and providing support for implementations and enhancements.

The LLM Full-Stack Developer will design, build, and operate AI applications, focusing on LLMs and SLMs, integrating front-end and back-end components while ensuring performance and safety in production environments.

Lead the design and development of graph-based data models and knowledge graphs using Neo4j. Architect solutions enabling AI integration and optimize performance for large datasets.

The Lead Data Engineer will design data architectures, implement data pipelines, optimize performance, handle data governance, and collaborate with AI teams to enable data insights.

The Lead BI/ML Developer will design and implement BI dashboards and conversational analytics, integrating ML models and optimizing workflows.

The Lead BigQuery / Graph DBA will design and optimize cloud-native data warehouses and graph databases, focusing on performance, integration with AI, and data governance.

The O365 Engineer will design, deploy, and manage Exchange Online and Microsoft Teams, handle mailbox management, troubleshoot issues, and maintain the Teams environment.