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 Mindset

• Proven 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 Capabilities

• Experience across multiple AI domains such as:
• Document processing and intelligent document automation
• Voice analytics and conversational intelligence
• Knowledge assistants / chatbots
• (Bonus) Fraud analytics or advanced predictive modeling
• Ability to quickly learn and apply new AI techniques as business needs evolve.

Self-Directed Learning & Curiosity

• Strong 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 Ownership

• Experience owning the full AI product lifecycle:
• Concept ? MVP ? Enterprise rollout ? Ongoing optimization
• Strong understanding of AI governance, scalability, and operational excellence.