Job Description:
Trigyn has a contractual opportunity for a Machine Learning/Artificial Intelligence Engineer. This resource will be working in Beirut Lebanon.
Job Description:
1. Machine Learning Model Development
• Design, train, evaluate, and deploy supervised and unsupervised ML models for tasks including forecasting, classification, clustering, anomaly detection, and natural language processing on regional datasets.
• Implement and maintain ETL pipelines for data ingestion, transformation, and integration from heterogeneous sources including national statistics, client databases, and open data platforms.
• Apply feature engineering, model selection, hyperparameter tuning, and ensemble techniques to optimize model performance across diverse problem domains.
• Understand ML infrastructure and is able to create and manage a local implementation.
2. LLM Integration and Agentic Solutions
• Explore and benchmark alternative large language models (open-source and proprietary) within the ADP's research environment to enhance data analysis, classification, and content generation processes.
• Implement LLM-powered pipelines for document understanding, information extraction, and question answering on Arabic and multilingual content.
• Explore and implement agentic solutions by leveraging deep research architectures and multi-step reasoning frameworks, adapting them to Client's operational needs.
• Experience installing local LLM models and configuring them for continuous usage
3. API Integration and Technical Infrastructure
• Design and implement RESTful APIs to expose ML model outputs and integrate them with the ADP's broader data ecosystem and digital tools.
• Ensure model scalability, maintainability, containerization readiness, and thorough documentation for long-term institutional use.
• Collaborate with data engineers to align ML outputs with downstream reporting, dashboard, and visualization requirements.
4. Collaboration and Reporting
• Collaborate with data scientists, engineers, and domain experts across DSDSD to ensure effective communication, data sharing, and alignment with project goals.
• Prepare and contribute to technical reports, presentations, and documentation explaining methodologies, model performance, and findings to both technical and non-technical audiences.
Qualifications
• A bachelor's degree in computer science, data science, applied mathematics, statistics, or a related field is required. A master's degree is desirable.
• A minimum of 5 years of professional experience in machine learning engineering or a closely related discipline is required.
• Demonstrated proficiency in Python and core ML libraries (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) is required.
• Experience designing and deploying end-to-end ML pipelines in production environments is required.
• Knowledge of LLMs and experience integrating them into data or analytical workflows is required.
• Experience with MLOps practices, experiment tracking, and pipeline orchestration tools (MLflow, Airflow, Prefect, or equivalent) is desirable.
• Familiarity with cloud or containerized ML deployment environments (Docker, Kubernetes, or cloud ML platforms) is desirable.
• Experience with NLP tasks and multilingual or Arabic language models is an asset.
• English and French are the working languages; and Arabic is a working language. For this position, fluency in English is required and fluency in Arabic is desirable.
For Immediate Response, please send your Resume to Global-Recruitment@Trigyn.com
TRIGYN TECHNOLOGIES is a multinational IT services company with resources deployed in 28 countries. TRIGYN is an ISO 9001:2015, ISO 27001:2022 (ISMS) and CMMI Level 5 certified company. TRIGYN has offices in the United States, Canada, Switzerland and India.