Job
Description
Role & Responsibilities GenAI Solution Development : Design, build, fine-tune, and evaluate generative AI models (e.g., LLMs, diffusion models) for specific business use cases. Apply prompt engineering and model optimization techniques for performance and cost-efficiency Platform Integration & Enhancement Work with and improve Quantanite's MoBIUS Generative AI Platform. Bridge R&D (QLabs) and production-ready solutions. Cross-Functional Collaboration Partner with teams across different business pillars to gather requirements and integrate GenAI into workflows. Human-Centric AI Design Design AI tools that enhance user experience and augment human capabilities. Prioritize ethical AI and employee engagement in solution design. Research & Prototyping Stay current with GenAI trends and tools; prototype emerging technologies, often within QLabs. Performance Monitoring & Optimization Monitor deployed models for efficiency, accuracy, and impact on business metrics. Continuously iterate for improvements. Ethical AI & Governance Ensure AI systems follow best practices regarding fairness, transparency, privacy, and bias mitigation. Preferred Candidate Profile Advanced Education : Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Domain Experience Prior experience applying AI/ML solutions within domains directly relevant to Quantanite's core service offerings : Customer Experience (CX), Contact Centers, Sales Automation/CRM, Business Process Outsourcing (BPO), Data Annotation/Management, or HR Technology. 1 Experience in these areas allows for a quicker understanding of business needs and faster value delivery : Platform Development Experience : Experience contributing to the development of scalable AI/ML platforms, MLOps infrastructure, or internal AI tooling. This is particularly relevant given the role's interaction with the MoBIUS platform.1 Full-Stack Familiarity : A broader understanding of software development principles, including experience with API design/development (e.g., RESTful APIs), containerization (e.g., Docker, Kubernetes), and potentially front-end components for integrating AI models into user-facing applications. Publications/Contributions : Contributions to the AI/ML community through publications in relevant conferences/journals or significant contributions to open-source projects. (ref:hirist.tech) Show more Show less
