وظائف مدير إدارة التدريب في المدينة المنورة

Join Alfanar as a SALES REPRESENTATIVE and embark on a rewarding career!
Alfanar is a leading Saudi company dedicated to manufacturing and trading a wide variety of electrical products and offering innovative renewable energy solutions. As a Sales Specialist, you will play a crucial role in interacting directly with customers and driving sales in our showroom.

Job Purpose:
Interact with customers throughout all phases of the sales process in the showroom and maintain strong relationships to achieve sales targets.

Key Accountability Areas:

• Customer Interactions: Provide a warm welcome, understand customer needs, make product presentations, and build lasting relationships.
• Showroom Sales: Showcase products, promote new offerings, prepare quotations, follow up on deals, process payments, and ensure smooth delivery.
• Coordination and Communication: Collaborate with internal teams for effective operations.
• HR Proficiency: Work collaboratively to achieve departmental objectives and maintain open communication.
• Delivery & Quality: Ensure effective execution of planned activities and adherence to quality standards.
• Business Process & Compliance: Follow established procedures and ensure safety regulations are adhered to.
• Problem-Solving: Address issues as they arise and escalate complex problems as needed.

Qualifications:
A diploma degree and preferably 0-2 years of experience in sales. Strong communication skills and a customer-oriented approach are essential for this role. If you possess a passion for sales and thrive in a dynamic environment, we encourage you to apply and be part of our esteemed team.

For more information, please visit our website at *********

Join our team as a Medical Photographer!
At Safwa Hospital by Majesty, we are committed to redefining healthcare with innovation, trust, and personalized care. As a Medical Photographer, you will play a vital role in capturing the essence of our healthcare services through stunning imagery.

Qualifications and Requirements:

• Bachelor’s degree in Photography, Visual Arts, Communications, or a related field.
• Professional certification or training in photography is a plus.
• Previous experience in medical or healthcare settings is desired but not mandatory.

Skills:

• Proficient knowledge of photography equipment and strong editing skills.
• Ability to adhere to patient confidentiality laws.
• Excellent organizational skills for archiving images.

Roles and Responsibilities:

• Capture high-quality images of hospital events, medical procedures, and patient interactions (with consent).
• Document hospital facilities and staff for promotional materials.
• Ensure compliance with branding guidelines in all visual content.

Your Impact:
You will enhance our marketing efforts by providing high-quality visual content that accurately represents our commitment to excellence in patient care. Join us in making a difference through your artistic vision!

About Mozn
MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence. We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.

About The Role
We are looking for a skilled Data Engineer to join our implementation and professional Services team. In this role, you will be responsible for designing, building, and optimizing the data pipelines that support our FOCAL system. You will work closely with machine learning engineers, software developers, and engagement managers to ensure seamless data integration and high-performance system scalability.

Responsibilities:

• Develop and maintain scalable data pipelines and ETL processes to support FOCAL.
• Optimize SQL query generation by designing efficient database schemas, indexing strategies, and query execution plans.
• Collaborate with ML engineers to preprocess, transform, and structure large-scale datasets for AI models.
• Monitor and enhance data pipeline performance, reliability, and scalability.
• Ensure data quality by implementing validation and logging mechanisms.
• Stay up to date with best practices in data engineering and database optimization.

Qualifications:

• 2+ years of experience in data engineering or related technical roles.
• Proficiency in Python for data processing and ETL development.
• Strong SQL skills and experience writing complex queries.
• Solid understanding of dimensional modeling.
• Working knowledge of Linux command line and server administration.
• Experience with Docker or containerization technologies.

Benefits:
Competitive compensation, medical insurance, and a dynamic workplace environment.