Customer Success Services Support (MaaS Service & Model Optimization)
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About the Role
Customer Success Services Support (MaaS Service \& Model Optimization) **Location:** Riyadh, Saudi Arabia (On\-site) Language Requirements Candidates must be proficient in at least **two** of the following languages: * Arabic * English * Chinese Work Arrangement * On\-site at client location in Riyadh, Saudi Arabia * 5 shift options available * Must be willing to participate in 7x24\-hour on\-call and standby rotations, respond promptly to urgent customer needs, and dri
Key Skills for This Role
Full Job Posting
Overview
Customer Success Services Support (MaaS Service & Model Optimization)
Language Requirements
- Candidates must be proficient in at least **two** of the following languages:
- Arabic
- English
- Chinese
Work Arrangement
- On-site at client location in Riyadh, Saudi Arabia
- 5 shift options available
- Must be willing to participate in 7x24-hour on-call and standby rotations, respond promptly to urgent customer needs, and drive issue resolution to completion.
Job Overview
We are seeking a Customer Success Services Support professional with experience in Large Language Models (LLMs) and Model as a Service (MaaS) environments.
The successful candidate will serve as the key link between customer business requirements and AI model capabilities, helping optimize model performance, quality, and cost efficiency.
Key Responsibilitiesmodel Analysis & Diagnosis
- Analyze model performance across inference, generation, and review processes.
- Investigate and reproduce customer-reported issues, including output quality concerns and latency problems.
- Identify root causes and recommend improvements.
Model Optimization Support
- Provide guidance on Prompt Engineering and model fine-tuning strategies.
- Collaborate with internal AI and algorithm teams to improve model performance.
- Support optimization efforts for Arabic-language use cases and multilingual scenarios.
Technical Support & Consulting
- Assist customers with MaaS platform usage, model selection, API integration, and troubleshooting.
- Provide technical recommendations and best practices.
- Deliver customer-facing consultations and training when required.
Performance & Cost Management
- Monitor key service metrics such as TPM, TTFT, and success rates.
- Analyze resource consumption and model utilization.
- Recommend cost-effective model deployment and usage strategies.
Customer Communication
- Gather and communicate customer feedback accurately.
- Coordinate closely with internal engineering, product, and support teams.
- Support cross-cultural collaboration and ensure effective communication across teams.
Requirementsexperience
- Experience working with Large Language Models (LLMs), including model evaluation, application development, optimization, or technical support.
- Experience with MaaS platforms or AI-focused organizations is preferred.
Technical Skills
- Strong understanding of LLM fundamentals, including Transformer architecture, tokenization, and inference processes.
- Hands-on experience with Prompt Engineering.
- Familiarity with model evaluation methodologies and performance optimization.
- Knowledge of TensorFlow, PyTorch, or similar deep learning frameworks.
Communication Skills
- Strong verbal and written communication skills.
- Ability to explain complex technical concepts to both technical and non-technical audiences.
Language Requirements
- **Arabic:** Reading and writing proficiency; experience handling Arabic-language content is highly preferred.
- **English:** Professional working proficiency.
- **Chinese:** Ability to communicate effectively with China-based R&D teams.
Preferred Qualifications
- Experience with multilingual NLP projects, especially Arabic NLP.
- Experience supporting MaaS platforms such as Volcano Ark, Alibaba Cloud Tongyi, Tencent Cloud Hunyuan, or similar platforms.
- Overseas work or study experience.
- Strong understanding of model performance optimization and cost control.
Compliance & Culture
- Respect and understand Saudi Arabian laws, business culture, and social customs.
- Strong awareness of data security, privacy protection, and compliance requirements.
- Comfortable working in a fast-paced customer-facing environment with on-call responsibilities.
How To Apply
Interested candidates should send their CV to:
adaramoye@giantsage.com
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