AI Development Team Leader
Brief
Job Location: Jordan
Lead the end-to-end design and implementation of our in-house AI empowering policy, process, and compliance intelligence. You’ll architect multilingual retrieval-augmented systems, oversee model selection and fine-tuning, and guide a small cross-functional AI team from PoC to enterprise scale.
Key Responsibilities
- Define AI roadmap, architecture, and MLOps standards.
- Design and deploy RAG pipelines (LangChain / LangGraph / vector DB / (v)LLMs).
- Oversee data ingestion from PDFs, Word docs, process maps.
- Lead multilingual model adaptation and evaluation.
- Implement governance, evaluation, and hallucination-control frameworks.
- Mentor and review work of AI engineers; coordinate with DevOps / backend /Frontend Teams.
Must-Have Skills
- Fluent English; strong Arabic understanding preferred.
- Deep NLP & LLM experience (retrieval, embeddings, prompt engineering).
- Strong hands-on Python (LangChain, FastAPI, PyTorch, Hugging Face).
- Prompt engineering, embeddings, text classification / NER.
- Python, PyTorch, Transformers, Hugging Face datasets.
- Deep knowledge of Arabic NLP corpora & tokenization.
- Statistical analysis, clustering, similarity metrics.
- Proven deployment of GenAI apps to production.
- Familiarity with MLOps (Docker, MLflow, Vertex AI, SageMaker, or similar).
Submit Your Application Via the below form
Alternatively, you may send a direct email to Careers@tsmesolutions.com, mentioning the desired position in the email subject line.
