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Manages and optimizes AI/ML infrastructure, including GPU clusters and cloud environments, to ensure reliable, secure, and scalable AI system operations.
Designs, tests, and refines AI prompts to improve generative AI outputs for customer support, content generation, and automation across industries like healthcare, retail, and finance.
POSITION OVERVIEW MCI is one of the fastest-growing tech-enabled business services companies in the US, delivering Customer Experience (CX), Business Process Outsourcing (BPO) and technology solutions across multiple…
Leads AI and automation business analysis to identify opportunities, define requirements, and ensure AI investments deliver measurable outcomes for a global BPO and CX services provider.
Bridge business needs and AI solutions by analyzing processes, gathering requirements, and translating them into AI-driven improvements to enhance performance and scalability.
Own the AI product roadmap, backlog, and requirements for an AI-powered CX platform, bridging business needs with technical delivery in an Agile environment.
Test and validate AI-powered products and machine-learning models to ensure reliability, performance, and compliance with business requirements.
Secure AI systems and machine-learning platforms by assessing risks, monitoring threats, and enforcing compliance across MCI’s global BPO and CX operations.
Designs, tests, and refines prompts for large language models to improve AI response quality and business outcomes across customer-service and automation use cases.
Lead AI prompt engineering at a global BPO/XaaS firm, designing and optimizing prompts for LLMs to improve enterprise AI solutions across industries like healthcare and finance.
Test and validate AI-powered chatbot responses for accuracy, compliance, and conversational quality, documenting defects and recommending improvements.
Oversee and maintain AI infrastructure, ensuring high availability and security for machine learning platforms and model deployments in a global BPO environment.
Drive AI-powered product strategy and roadmaps, collaborating with engineering and stakeholders to deliver AI solutions that align with business goals and customer needs.
Build and deploy enterprise-scale AI/ML models to power predictive analytics and automation for a global BPO and CX provider, using Python and cloud platforms.
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