Senior AI Engineer (Arabic Speaker)
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Key skills for this role
About the Role
We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Art.
Key Skills for This Role
Responsibilities
- Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases
- Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions
- Develop AI powered applications leveraging Large Language Models and Generative AI technologies
- Design and implement end to end MLOps pipelines for model training, deployment, monitoring, and lifecycle management
- Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI
- Collaborate with data engineering teams to build AI ready data pipelines
- Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions
- Mentor junior AI engineers, data scientists, and platform engineers
Requirements
- Native or fluent Arabic speaker
- 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering
- Minimum 3+ years of hands on experience implementing Generative AI solutions
- Strong Python programming skills
- Experience deploying AI solutions in enterprise production environments
- Bachelor's Degree in Computer Science, AI, Data Science, Engineering, or related discipline
- Willingness to work onsite in Riyadh, Saudi Arabia
Full Job Posting
Overview
- Seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join the AI and Data Science team in Riyadh.
- Strong expertise in AI, Generative AI, MLOps, and Cloud based AI Platforms required.
- Proven experience in designing, developing, deploying, and managing enterprise grade AI solutions.
Key Responsibilities
- Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.
- Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.
- Develop AI powered applications leveraging Large Language Models and Generative AI technologies.
- Fine tune foundation models and implement Retrieval Augmented Generation architectures.
- Evaluate and benchmark AI models to ensure performance, scalability, and reliability.
- Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.
- Develop conversational AI solutions, intelligent assistants, and knowledge management systems.
- Build prompt engineering frameworks and optimize prompts for business use cases.
- Implement vector databases and semantic search solutions.
- Develop AI agents and autonomous workflows using modern AI orchestration frameworks.
- Design and implement end to end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
- Automate model deployment using CI/CD pipelines and infrastructure as code practices.
Required Technical Skills
- Machine Learning, Deep Learning, Natural Language Processing, Predictive Analytics
- Generative AI, Large Language Models, Retrieval Augmented Generation, Prompt Engineering
- AI Agents & Multi Agent Systems, Fine Tuning and Model Optimization
- Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
- LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen
- MLOps: MLflow, Kubeflow, Airflow, Model Monitoring & Observability, CI/CD for ML
- Cloud Platforms: Microsoft Azure, AWS, Google Cloud Platform, Oracle Cloud Infrastructure
- Containers & DevOps: Docker, Kubernetes, Git, GitHub Actions, Jenkins, Terraform
- Programming Languages: Python (Mandatory), SQL, Bash/Shell Scripting, Java or C# (Preferred)
Qualifications
- Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related discipline.
- Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.
- 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.
- Minimum 3+ years of hands on experience implementing Generative AI solutions.
- Proven experience building and operationalizing machine learning models in production environments.
- Strong experience implementing enterprise MLOps frameworks and practices.
- Experience working with cloud native AI services and modern AI platforms.
Preferred Certifications
- Microsoft Azure AI Engineer Associate
- AWS Machine Learning Specialty
- Google Professional Machine Learning Engineer
- OCI AI Foundations Associate
- Kubernetes Certifications (CKA/CKAD)
- Databricks Machine Learning Professional
Soft Skills
- Strong analytical and problem solving skills.
- Excellent communication and stakeholder management abilities.
- Ability to work effectively in cross functional and multicultural environments.
- Strong ownership, accountability, and leadership mindset.
- Passion for innovation and continuous learning.
- Ability to communicate fluently in both Arabic and English.
Mandatory Requirements
- Native or Fluent Arabic Speaker.
- 6 8 years of relevant AI/ML engineering experience.
- Hands on expertise in Generative AI and MLOps.
- Strong Python programming skills.
- Experience deploying AI solutions in enterprise production environments.
- Willingness to work onsite in Riyadh, Saudi Arabia.
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