This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Are you a passionate individual seeking a fulfilling career that offers flexibility and growth opportunities? Look no further! With the option to work from home and enjoy a flexible schedule, you can balance your personal and professional life seamlessly while advancing your career. - Work-Life Balance: Embrace the freedom to work from home and tailor your schedule to fit your lifestyle, ensuring you have time for what matters most to you. - Supportive Environment: Join a nurturing community that values work-life harmony and provides the support and flexibility you need to thrive in your career. - Mentorship & Growth: Access mentorship opportunities from experienced leaders who are dedicated to helping you succeed, empowering you to grow and excel in your role. Qualifications - Dedication to delivering exceptional customer service experiences. - Strong communication and interpersonal skills. - Ability to lead and inspire teams to achieve outstanding results. - Desire to pursue professional growth and development while maintaining a healthy work-life balance. Company Description Global Elite Empire Consultants is a third-party recruiter, not an insurance agency. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Architect a scalable, multi-tenant agentic AI data platform using the Azure technology stack. • Design a hybrid data architecture supporting operational systems, agentic AI workloads, and a knowledge graph • Build infrastructure utilizing vector and graph databases for RAG applications and semantic search • Design and implement comprehensive MLOps platform including deployment management, AI security and safety, and observability on Azure supporting the full ML lifecycle from experimentation to production. • Build automated pipelines using Azure technologies for continuous integration and deployment • Implement real-time inference infrastructure with monitoring, alerting, and automated drift detection • End-to-end lifecycle management including hydration from existing taxonomies/ontologies • Develop high-performance graph query services and APIs for real-time access to supply chain relationships • Deploy automated validation, conflict resolution, and data quality monitoring to ensure graph consistency and accuracy • Implement Infrastructure as Code (IaC) and build CI/CD pipelines for data products and ML models • Set and enforce platform standards for cost control, model/runtime selection, and performance targets (including budgeting, attribution, and optimization for training + inference). • Lead AI governance with Security/Legal/Privacy, turning policy into technical controls (access, auditability, guardrails, retention, and risk management). • Build scalable data + evaluation systems: synthetic dataset generation where appropriate, automated benchmarks, and release quality gates for RAG/agents as well as classical ML. • Create self-service capabilities with comprehensive monitoring and observability • Drive engineering delivery improvements through AI-based code analysis to improve quality, maintainability, and general code health. • Drive engineering efficiency improvements through best practices and adoption of AI-assisted coding tools and capabilities. • Stay on top of new research including cutting edge AI technology. • Democratize AI through TraceGains teams for adoption and deployment across the platform.

• Plan, launch, and manage digital ad campaigns (LinkedIn, Google, email, and other B2B channels) • Track performance metrics and provide clear reporting on what is working and what is not • Coordinate campaign timelines, assets, and approvals across internal stakeholders • Create and maintain marketing collateral including one-pagers, slide decks, brochures, case studies, and website content • Write clear, professional copy for ads, landing pages, emails, and sales enablement materials • Adapt technical or complex subject matter into customer-facing messaging • Design visual assets for digital campaigns, presentations, conferences, and social channels • Maintain brand consistency across all materials • Work with existing brand guidelines and improve them over time where needed • Support planning and execution for industry conferences and trade shows • Coordinate logistics for booths, signage, printed materials, and giveaways • Assist with pre-event promotion and post-event follow-up campaigns • Maintain organized project plans, asset libraries, and campaign calendars • Manage multiple initiatives simultaneously without dropping details • Proactively identify gaps, delays, or quality issues and address them early

• Embed with business teams to observe manual, repetitive, or high-friction processes • Map end-to-end workflows and identify automation opportunities • Quantify time, cost, and risk reduction potential • Build internal tools using: Python, Node, or similar scripting languages • Integrate with internal systems (CRM, Jira, NetSuite, Teams, etc.) • Deploy secure, production-grade internal automations • Translate messy operational tasks into structured automation logic • Implement human-in-the-loop controls where required