AI​/ML ENGINEER

This position plays a crucial role in driving our AI initiatives by developing and maintaining on‑premise AI solutions that enhance our operational efficiencies. As an integral part of our AI Engineering team, you will work at the intersection of technology and industry, deploying AI solutions directly within client facilities. This role is essential for building the intelligent layers across our platforms, which include document intelligence, workflow automation, and AI‑powered decision support systems.

In this dynamic position, you will face exciting challenges as you design and implement advanced AI models tailored for specific industrial workflows. Your work will not only contribute to the success of our clients but also place you at the forefront of innovative AI applications in sectors such as energy, construction, and facility management.

• Build and maintain on‑premise Retrieval‑Augmented Generation (RAG) and Large Language Model (LLM) pipelines for effective document processing and intelligent Q&A systems.
• Develop Optical Character Recognition (OCR) and document extraction systems tailored for industrial workflows, including permits, contracts, and reports.
• Create AI‑powered workflow automation components that seamlessly integrate into our enterprise platforms, ensuring smooth and efficient operations.
• Train and fine‑tune models for domain‑specific tasks, focusing on the needs of industries such as energy, construction, and facility management.
• Collaborate closely with the backend team to ensure effective API integration of AI modules, enhancing the overall system architecture.

This role offers significant measurable impacts on business outcomes, as the solutions you develop will drive operational efficiencies and deliver valuable insights to our clients. You will have the opportunity to engage in continuous learning, expanding your technical expertise in AI and machine learning, as well as gaining invaluable industry knowledge.

Our organization encourages career progression, with pathways to advanced technical roles or leadership positions. Additionally, you will benefit from mentorship opportunities, working alongside experienced professionals who are committed to your professional development.

You will be part of a collaborative and innovative team structure that values diversity and fosters an inclusive culture. Our company encourages work‑life balance, providing flexible scheduling options to accommodate personal commitments while supporting your professional goals.

Our team utilizes cutting‑edge tools and technologies, ensuring that you have access to the best resources to perform your job effectively. The emphasis on on‑site work allows for dynamic collaboration, enabling you to engage directly with your colleagues and contribute to a thriving workplace culture.

• Educational Background: Bachelor’s degree in Computer Science, Engineering, or a related field. Relevant certifications in AI/ML are a plus.
• Experience: A minimum of 1–5 years of experience in AI/ML engineering, preferably within industrial sectors such as energy, construction, or facility management.
• Core Technical
  
  Skills:
  
  Proficiency in developing and maintaining on‑premise AI solutions, especially in document processing and workflow automation.
• Soft Skills: Strong analytical thinking, effective communication, and collaboration skills are essential for team success and client interactions.

• Software & Tools: Familiarity with on‑premise deployment technologies, including vector databases and OCR frameworks.
• Programming
  
  Languages:
  
  Expertise in Python as the primary programming language; experience with FastAPI or Django for AI service development.
• Industry Knowledge: Understanding of industrial workflows and processes, particularly in areas related to document intelligence and automation.
• Certifications: Any certifications related to AI/ML, cloud computing, or software development are advantageous.

• Advanced
  
  Education:
  
  Master’s degree or higher in a relevant field.
• Specialized
  
  Skills:
  
  Experience with Arabic NLP or multi‑modal AI systems is a plus.
• Leadership
  
  Experience:
  
  Demonstrated ability to lead projects or teams in an engineering context is preferred.
• Industry Connections: Established relationships within the industrial sector could enhance collaborative opportunities.

• Communication
  
  Skills:
  
  Ability to convey complex technical concepts to non‑technical stakeholders effectively.
• Problem‑Solving: Strong analytical abilities to troubleshoot and resolve technical challenges swiftly.
• Adaptability: A willingness to learn new technologies and adapt to evolving project requirements.
• Cultural Fit: Alignment with company values and a commitment to fostering an inclusive team environment.