Position Overview:
EDECS Group is seeking a Senior AI Engineer to design, train, and deploy advanced large language models (LLMs) and AI solutions. In this role, you will architect high-performance AI systems, guide technical teams, and drive innovation in our AI-driven product offerings. If you are passionate about pushing the boundaries of AI technology and have deep expertise in LLMs, we want you to join our team.
Responsibilities:
- Architect: Design and implement cutting-edge LLM architectures and scalable AI systems, ensuring robust performance in production environments.
- Advanced Model Training: Oversee the training, fine-tuning, and optimization of large language models, leveraging state-of-the-art techniques and best practices.
- Innovation & Research: Lead research initiatives to explore new AI methodologies, algorithms, and advanced LLM techniques (e.g., Retrieval-Augmented Generation) that drive competitive advantage.
- Cross-functional Collaboration: Work closely with data scientists, product managers, and software engineers to integrate AI solutions that meet business objectives and solve complex challenges.
- Performance Optimization: Develop strategies for model scalability, deployment efficiency, and operational reliability, including the integration of distributed computing and cloud-based services.
- Data Strategy: Collaborate with teams to curate and preprocess large, diverse datasets essential for training robust models.
- Deployment & Maintenance: Oversee the seamless deployment, monitoring, and iterative improvement of AI systems in live production environments.
- Documentation & Best Practices: Establish and maintain rigorous documentation, coding standards, and protocols to ensure reproducibility and maintainability of AI projects.
Skills and Qualifications:
- Education: Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Experience: 5+ years of hands-on experience in AI/ML engineering with significant expertise in training, fine-tuning, and deploying LLMs.
- Technical Expertise:
- In-depth knowledge of LLM architectures and large-scale model training.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, and the Hugging Face ecosystem.
- Experience with advanced techniques such as Retrieval-Augmented Generation (RAG) and working with vector databases (e.g., Pinecone, Weaviate, FAISS).
- Cloud & Distributed Systems: Strong background in deploying AI solutions on cloud platforms (AWS, Azure, GCP) and utilizing distributed computing for scalable model training and inference.
- Problem Solving: Exceptional analytical and problem-solving skills with a proactive approach to overcoming technical challenges.
- Communication: Excellent verbal and written communication skills, with the ability to translate technical concepts for diverse audiences.
About EDECS:
EDECS is a leading organization with 30 years of experience in marine constructions, infrastructure, earthworks, and transportation projects in Egypt and Saudi Arabia, employing more than 2,000 employees. The organization provides innovative, sustainable, and cost-effective solutions for a wide range of projects, delivering excellence and meeting the highest standards of quality, safety, and sustainability. The organization has a strong presence in logistics projects, including high-speed and light-speed railways, railway stations, and commercial and administrative buildings. The organization also has extensive experience in earthworks, water irrigation, and yacht marinas. EDECS is a trusted partner for employers seeking to make a positive impact on the communities they serve.
