Co-op Trainee (Mechanical Engineering) (Saudi National)📣 Job Ad

About the Role

IBM Consulting focuses on building long-term client relationships through global collaboration. This role involves guiding leading companies through their hybrid cloud and AI transformations, leveraging strategic partnerships, IBM technology, and Red Hat. Curiosity, challenging the status quo, and developing innovative solutions are core to the culture, which emphasizes growth, empathy, and career development.

Role Overview: Solution Architect

As a Solution Architect specializing in Cognitive Computing, you will design and implement complex cognitive solutions across multiple platforms and software packages. This involves creating technical solution architectures for specific business challenges and leading the subsequent development, integration, and testing phases. A deep understanding of system engineering principles, cloud architectures, and probabilistic/stochastic systems is essential for engineering fully functional cognitive systems.

Key Responsibilities

• Design cognitive solutions by creating technical solution architectures for business problems, applying system engineering principles, cloud architectures, and probabilistic and stochastic systems.
• Lead the development, integration, and testing of cognitive solutions, ensuring the performance architecture and engineering of a fully functional cognitive system.
• Select complementary analytics components for developing solution blueprints, considering content formats, representations, data sources, content management systems, and interfaces.
• Develop comprehensive solution blueprints that map the full information path from source to knowledge base and from input to content processing within Cognitive Computing solutions.
• Engineer cognitive systems by applying system decomposition techniques and system synthesis using available cognitive technology, including the Watson technology suite.

Required Qualifications and Experience

• A deep understanding of system engineering principles, including experience with cloud architectures, probabilistic and stochastic systems, and system decomposition techniques for designing and implementing cognitive solutions.
• Proficiency in cognitive technology, with deep expertise in the Watson technology suite, enabling the selection of analytics components and development of solution blueprints.
• Experience with content management systems, including knowledge of content formats, representations, data sources, and interfaces for seamless integration and processing in Cognitive Computing solutions.
• Expertise in performance architecture and engineering of fully functional cognitive systems, focusing on scalability, reliability, and efficiency.
• Experience in leading the development, integration, and testing of complex cognitive solutions, guiding cross-functional teams.
• A Master's Degree is preferred.
• 5-10 years of relevant experience is required.

Technical Skills

• System Engineering Principles
• Cloud Architectures
• Probabilistic and Stochastic Systems
• Cognitive Technology
• Watson Technology Suite
• Content Management Systems
• Performance Architecture
• Solution Development Leadership
• Scalability, Reliability, and Efficiency
• Data Sources

Work Location and Type

This is a full-time position based in Riyadh, Saudi Arabia.

About the Role

W Hotels is seeking a Supervisor-Restaurant to join its team in Riyadh, Saudi Arabia. This role is part of the Food and Beverage department and is responsible for ensuring high standards of guest experience and service. This is a full-time, non-management position within the W Hotels brand, which is part of Marriott International.

W Hotels operates with a culture focused on guest satisfaction and innovation, aiming to inspire curiosity and provide memorable experiences. The brand emphasizes a spirit of readiness and reinvention in luxury hospitality, guided by its "Whatever/Whenever" service philosophy. Joining W Hotels means becoming part of a global team committed to personal and professional growth.

Key Responsibilities

• Ensure staff collaboration to provide optimal service and meet guest needs.
• Monitor and maintain staff personal hygiene and attire standards.
• Complete opening and closing procedures, including organizing provisions, cleaning equipment and areas, and securing premises.
• Inspect storage areas for organization, cleanliness, and adherence to the FIFO method.
• Conduct scheduled inventories and manage restocking and ordering of provisions.
• Oversee seating availability, service, safety, and guest well-being in dining areas.
• Initiate work orders for necessary maintenance repairs.
• Assist management with employee hiring, training, organization, evaluation, counseling, discipline, motivation, and coaching.
• Act as a point of contact and example for the "Fair Treatment Guarantee and Open Door Policy."
• Adhere to all company safety policies and procedures, reporting issues and completing required training.
• Maintain a neat and professional uniform and personal appearance.
• Protect company proprietary information and assets.
• Support colleagues and treat them with dignity and respect.
• Contribute to the achievement of team goals.
• Meet quality assurance expectations and standards.
• Perform physical tasks including lifting objects up to 50 pounds (** Kg) without assistance.
• Maintain physical stamina for standing, sitting, or walking for extended periods.
• Read and visually verify information in various formats.
• Visually inspect tools and equipment for defects.
• Utilize fine motor skills and hand-eye coordination for object manipulation.
• Perform tasks involving reaching, bending, twisting, and dragging objects.
• Navigate narrow, confined, or elevated spaces.
• Ascend and descend service stairs and ramps.
• Welcome and acknowledge guests according to company standards.
• Communicate clearly and professionally, and answer telephone calls with appropriate etiquette.
• Listen to and respond appropriately to employee issues.
• Perform other reasonable job duties as requested by supervisors.

Qualifications and Requirements

• High school diploma or equivalent (GED).
• A minimum of 2 years of related work experience.
• A minimum of 1 year of supervisory experience.

Required Skills

• Teamwork
• Guest Service
• Inventory Management
• Hiring
• Training
• Motivation
• Safety Procedures
• Professional Appearance
• Communication
• Problem Solving
• Quality Assurance
• Fine Motor Skills
• Hand-Eye Coordination

Work Environment and Details

This is a full-time position located at Area 1 Al Aqeeq Street Financial District, Riyadh, Saudi Arabia, 13519. The role is not remote. Marriott International is committed to providing equal opportunity and fostering a diverse and inclusive environment where all associates are valued and celebrated.

About the Role

InnovationTeam is seeking a highly skilled AI Team Lead to join its team onsite in Riyadh, Saudi Arabia. The company specializes in delivering advanced AI-driven solutions for enterprises and government organizations. In this role, you will lead the design, development, implementation, and delivery of end-to-end AI solutions across various domains. This position requires a strong technical background in modern AI technologies, hands-on experience building production-ready AI solutions, and leadership capabilities to manage AI engineers, data scientists, ML engineers, and cross-functional delivery teams. The ideal candidate will translate business requirements into scalable AI solutions, manage project execution, guide technical teams, and ensure successful delivery of AI initiatives within scope, timeline, and quality standards.

Key Responsibilities

• Lead the AI team in designing, developing, and delivering enterprise AI solutions.
• Manage AI projects from requirement gathering to production deployment.
• Translate business needs into technical AI solution designs and implementation plans.
• Design and supervise solutions involving Generative AI, LLMs, RAG systems, AI agents, NLP, machine learning, deep learning, and computer vision.
• Lead data science initiatives, including data analysis, feature engineering, model development, evaluation, and optimization.
• Build and oversee end-to-end AI pipelines, including data ingestion, preprocessing, model training, inference, monitoring, and continuous improvement.
• Guide the implementation of machine learning and deep learning models using frameworks such as PyTorch, TensorFlow, Scikit-learn, and related tools.
• Supervise the development of AI agents, chatbots, recommendation systems, classification models, predictive analytics, and intelligent automation solutions.
• Define AI architecture, integration patterns, APIs, microservices, and deployment strategies.
• Ensure AI solutions are scalable, secure, reliable, cost-efficient, and production-ready.
• Collaborate with business stakeholders, product teams, data teams, software engineers, and cloud teams.
• Manage task allocation, technical reviews, project milestones, risks, and delivery timelines.
• Establish best practices for MLOps, LLMOps, model governance, model monitoring, documentation, and quality assurance.
• Support presales and client discussions by providing technical input, solution proposals, effort estimation, and feasibility assessments.
• Ensure AI solutions comply with security, privacy, governance, and responsible AI principles.
• Mentor and coach AI engineers, ML engineers, data scientists, and junior team members.
• Stay up to date with the latest developments in AI, machine learning, deep learning, Generative AI, cloud AI services, and enterprise AI platforms.

Qualifications and Requirements

• Minimum 5 years of professional experience in AI, machine learning, data science, or related technology fields.
• Minimum 2-3 years of experience leading AI teams or managing AI solution delivery.
• Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related field.
• Strong hands-on experience in machine learning, deep learning, NLP, Generative AI, and data science.
• Solid understanding of LLMs, RAG architectures, AI agents, vector databases, prompt engineering, and model evaluation.
• Strong experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex.
• Experience in building and deploying ML/DL models for real-world enterprise use cases.
• Strong understanding of supervised learning, unsupervised learning, classification, regression, clustering, recommendation systems, forecasting, and anomaly detection.
• Experience with data preparation, data quality assessment, feature engineering, model training, validation, testing, and performance monitoring.
• Strong software engineering knowledge, including REST APIs, microservices, Docker, Kubernetes, CI/CD, and Git.
• Experience deploying AI workloads on cloud platforms such as OCI, Azure, AWS, or GCP; OCI experience is preferred.
• Knowledge of MLOps and LLMOps practices, including model versioning, monitoring, retraining, evaluation, and deployment automation.
• Strong project management skills, including planning, estimation, risk management, stakeholder communication, and delivery tracking.
• Ability to communicate complex technical concepts clearly to business and technical stakeholders.
• Excellent problem-solving, analytical, leadership, and decision-making skills.
• Excellent command of English, both written and spoken.
• Willingness to work onsite in Saudi Arabia.

Required Skills

• Generative AI, Machine Learning, Deep Learning, Data Science, Computer Vision, NLP, Intelligent Automation, and Enterprise AI Systems.
• AI Solution Architecture, MLOps, LLMOps, and Cloud Deployment.
• Proficiency with LLMs, RAG systems, AI agents, and related technologies.
• Expertise in AI/ML frameworks including PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, and LlamaIndex.
• Strong software engineering skills in REST APIs, microservices, Docker, Kubernetes, CI/CD, and Git.
• Experience with cloud platforms such as OCI, Azure, AWS, and GCP.
• Knowledge of MLOps/LLMOps practices covering model versioning, monitoring, retraining, evaluation, and deployment automation.
• Project management capabilities including planning, estimation, risk management, stakeholder communication, and delivery tracking.
• Advanced problem-solving, analytical, leadership, and decision-making skills.
• Experience with GPU-based model training and inference optimization.
• Familiarity with computer vision, OCR, document AI, speech AI, or multimodal AI systems.
• Experience with enterprise AI platforms like Azure OpenAI, Oracle AI Services, AWS Bedrock, or Google Vertex AI.
• Understanding of AI governance, responsible AI, data privacy, cybersecurity, and compliance frameworks.
• Experience in presales, technical proposal preparation, and client-facing solution presentations.

Work Environment and Additional Information

This is a full-time position requiring onsite work in Riyadh, Saudi Arabia. The role offers the opportunity to lead strategic AI initiatives and work on advanced AI solutions. Experience in government, healthcare, finance, telecom, or regulated enterprise environments is considered a plus. Arabic language skills are an advantage.