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LOCATION Remote Work-at-Home | Canada POSITION OVERVIEW MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across…
POSITION OVERVIEW MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer…
MCI is seeking an AI Systems Administrator to support, maintain, and optimize the infrastructure powering AI/ML environments. The role ensures reliability, scalability, and security of AI systems and data pipelines…
Build and deploy scalable AI/ML models for predictive analytics in a BPO environment, collaborating with cross-functional teams.
Design and build AI agents that automate workflows and integrate with enterprise systems using LLMs and Python.
Build and deploy machine-learning models to automate decisions and insights for a global BPO provider, using Python, TensorFlow/PyTorch, and cloud platforms.
Design, develop, deploy, and optimize scalable AI/ML systems while collaborating with cross-functional teams to deliver production-ready models and measurable business impact.
Design and optimize Retrieval-Augmented Generation platforms for enterprise AI, focusing on semantic search, vector databases, and scalable knowledge retrieval systems.
Designs, tests, and refines prompts for generative AI systems to enhance customer support, content generation, and workflow automation.
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.
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.
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