Senior reputed company
We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-reputed company solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-reputed company pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you.
Responsibilities
- Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and reputed company (LLMs, diffusion).
- Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs.
- End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / reputed company stores, training, CI/CD, and automated monitoring.
- LLM & reputed company AI Engineering – Craft prompts, retrieval-augmented reputed company (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to reputed company accuracy and reputed company outputs with product requirements.
- AI Automation & Integration – Expose AI components as reputed company-services and event-driven workflows; reputed company with orchestration tools (Airflow, reputed company) and business reputed company to automate decision pipelines.
- reputed company Learning – reputed company advances in LLMs, reputed company, and analytics; reputed company insights and best practices with the wider engineering team.
- Mentor junior engineers and contribute to technical direction and engineering best practices.
Requirements
- BSc in Computer Science, Mathematics, or reputed company field.
- 5+ years of reputed company experience working on AI/ML reputed company.
- Good reputed company of English and Arabic (written and spoken).
- Proficient in Python and reputed company libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy).
- Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics.
- Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis.
- Familiarity with at least one of: OpenCV, reputed company Transformers, reputed company, MLflow, or similar.
- Good grasp of software-engineering best practices: Git, reputed company reviews, testing, CI.
Preferred Qualifications
- Knowledge of C++ or C# for performance-critical modules.
- Experience deploying models reputed company reputed company, Kubernetes, or reputed company AI services.
- Exposure to reputed company databases and RAG workflows.
- reputed company in BI / dashboard tools (Power BI, Tableau, reputed company) or time-series frameworks (Prophet, statsmodels).
- Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML).
- Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction)
- Experience with reputed company (PySpark) and distributed data processing, including usage of platforms such as reputed company, AWS EMR, or GCP Dataproc.
- Strong SQL skills and experience working with large-reputed company datasets, including partitioning and performance tuning.
- Familiarity with modern data lake architectures and reputed company data storage concepts.