Machine Learning Engineer

This is a highly interactive, customer-facing role requiring strong presence, energy, and confidence.Candidates must be comfortable facilitating discussions, breaking silence, and engaging business stakeholders at all levels.Success in this role requires acting as a technical ambassador and advocate, not just an individual contributor.Enterprise AI MindsetProven experience building AI solutions that scale across an enterprise, not just within a single team or department.Demonstrated ability to design reusable AI capabilities and platforms that enable multiple business units.Experience supporting AI solutions post-launch, including monitoring, CI/CD, enhancements, and operational support.Breadth Across AI CapabilitiesExperience across multiple AI domains such as:Document processing and intelligent document automationVoice analytics and conversational intelligenceKnowledge assistants / chatbots(Bonus) Fraud analytics or advanced predictive modelingAbility to quickly learn and apply new AI techniques as business needs evolve.Self-Directed Learning & CuriosityStrong passion for AI demonstrated through continuous learning outside of formal job responsibilities.Ability to articulate learning sources (e.g., researchers, authors, frameworks, communities, or platforms).Keeps current with emerging AI trends, tools, and best practices in a rapidly evolving field.End-to-End OwnershipExperience owning the full AI product lifecycle:Concept ? MVP ? Enterprise rollout ? Ongoing optimizationStrong understanding of AI governance, scalability, and operational excellence.