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learning analytics specialist

Waad Education

<div>The Learning Analytics Specialist plays a key role in enabling data-driven decision-making across all Waad Education Company schools. The role involves managing learning data, supporting evidence-based planning, and ensuring alignment with standards for school improvement.
Key Responsibilities
A. Data Collection &amp; Management<ul>
<li>Lead the collection, validation, and academic, behavioral, and engagement data across all schools.</li>
<li>Maintain a centralized data system to ensure data accuracy, accessibility, and compliance with school improvement and accreditation standards.</li>
<li>Collaborate with school staff to build data fluency and standardize data entry procedures.</li>
</ul>B. Data Analysis &amp; Interpretation<ul>
<li>Analyze student performance and engagement data to identify learning gaps, growth patterns, and intervention opportunities.</li>
<li>Disaggregate data by school, grade, subject, student subgroup, and teacher to enable targeted planning and professional development.</li>
</ul>C. Reporting &amp; Visualization<ul>
<li>Develop role-specific reporting templates (for principals, academic leads, subject coordinators) to ensure consistent interpretation and use of data across schools.</li>
<li>Create user-friendly dashboards and visual reports that support learning decisions, operational KPIs, and board-level updates.</li>
<li>Ensure reports align with regulatory and accreditation metrics (e.g., MOE, NEASC).</li>
</ul>D. Predictive Analytics &amp; Student Support<ul>
<li>Create early warning systems to identify students at academic or behavioral risk and enable timely interventions.</li>
<li>Use predictive models and historical data to support long-term planning (e.g., student retention, subject difficulty, performance bottlenecks).</li>
<li>Collaborate with student support teams to link data insights to personalized learning and well-being strategies.</li>
</ul>E. Strategic Decision Support &amp; Planning<ul>
<li>Provide the CLO and Heads of School with data insights to support planning, goal-setting, and OKR alignment.</li>
<li>Support the design and evaluation of pilot programs or interventions by tracking impact data and making evidence-based recommendations.</li>
<li>Partner with the Head of Skills, Head of Academics, and School Leaders to evaluate program effectiveness (e.g., enrichment programs, new curricula).</li>
</ul>F. Capacity Building &amp; Data Literacy<ul>
<li>Help academic coordinators and school leaders on interpreting and using data to drive instruction and school improvement.</li>
<li>Promote a culture of evidence-based decision-making through workshops, briefings, and on-demand support.</li>
<li>Contribute to the development of data literacy tools and guides</li>
</ul>Requirements<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s in Data Science, Educational Measurement, or related field.</li>
<li>3&ndash;5 years of relevant experience in learning analytics or educational data systems.</li>
<li>Proficient in Power BI, Excel, and Learning Management Systems (LMS).</li>
<li>Fluency in Arabic and English</li></ul></div>

Learning Analytics Specialist

SAN International Group | مجموعة سان العالمية

<div>
 
 Who we are
 
 
 At San International, our e-commerce platforms are more than just shops; they&rsquo;re
 
 digital storefronts of our lifestyle brands
 
 . From watches to handbags, jewelry, and fashion, we bring weekly newness that blends elegance, individuality, and affordability. To power this journey, we&rsquo;re looking for a catalog and merchandising talent who can transform product data into
 
 a seamless shopping experience
 
 .
 
 
 
 
 
 Make an impact
 
 
 As the
 
 E-commerce Merchandising &amp; Catalog Specialist
 
 , you&rsquo;ll be the one shaping how customers discover and shop our products online. From organizing categories to ensuring visuals and product data are accurate, you&rsquo;ll make sure every click feels intuitive and every product looks ready to buy.
 
 
 You&rsquo;ll combine
 
 detail, creativity, and speed
 
 to support San&rsquo;s fast-fashion pace, ensuring our catalog is not only up-to-date but also optimized to drive conversion.
 
 
 
 
 
 What you&rsquo;ll do
 
 <ul>
 <li>
 Manage daily e-commerce operations: homepage, categories, product listing, product uploading, sorting, and seasonal/promotional updates.
 </li>
 <li>
 Ensure accurate and consistent product details (naming, descriptions, specs, pricing) in line with brand tone.
 </li>
 <li>
 Collaborate with the studio and content teams to upload high-quality visuals and videos.
 </li>
 <li>
 Optimize product tagging, filters, upsell, and cross-sell mechanics to increase
 
 basket value
 
 .
 </li>
 <li>
 Leverage performance data to boost visibility of high-performing SKUs and campaign products.
 </li>
 <li>
 Create, organize, and optimize landing pages for launches, campaigns, and special events.
 </li>
 <li>
 Monitor stock availability and coordinate with inventory/warehouse teams to prevent gaps online.
 </li>
 <li>
 Use analytics tools (Google Analytics, Hotjar, etc.) to track user behavior and improve conversion.
 </li>
 <li>
 Run A/B testing for layouts, banners, call-to-actions, and product sorting logics.
 </li>
 <li>
 Collaborate closely with marketing, performance, design, and fulfillment teams to deliver a
 
 seamless customer journey
 
 .
 </li>
 <li>
 Manage backend operations (Salla platform, Excel) for product sorting and catalog updates.
 </li>
 </ul>
 
 
 
 
 
 
 
 What we&rsquo;re looking for
 
 <ul>
 <li>
 2+ years of experience in e-commerce merchandising, catalog management, or digital retail.
 </li>
 <li>
 Strong organizational skills and attention to detail.
 </li>
 <li>
 Familiar with e-commerce platforms Salla, or similar
 </li>
 <li>
 Knowledge of SEO basics and product discoverability best practices.
 </li>
 <li>
 Comfort with Excel/Google Sheets and CMS tools.
 </li>
 <li>
 Fast learner who thrives in a
 
 trend-driven, fast-moving environment
 
 .
 </li>
 <li>
 Passion for fashion, lifestyle, and creating seamless online experiences.
 </li>
 </ul>
 
 
 
 
 At San, you won&rsquo;t just upload products, you&rsquo;ll design
 
 the digital journey that makes customers fall in love with them.
 
 
</div>

E-com Merchandising & Catalog Specialist

Ibix Global Tech

We are seeking a motivated and technically skilled IT Specialist to join our team. The ideal candidate will either have 2&ndash;3 years of professional experience in IT infrastructure and support or be a self-driven individual with strong knowledge and interest in IT systems, scripting, and remote monitoring &amp; management (RMM) tools.This role involves supporting servers, desktops, email systems, and backup infrastructure, while also contributing to automation and migration projects.Key Responsibilities<ul><li>Provide desktop and server support (Windows OS, applications, hardware troubleshooting).</li><li>Assist in email migrations (Microsoft 365, Google Workspace, Exchange).</li><li>Manage and monitor IT systems using RMM tools (ManageEngine, SolarWinds, Acronis, etc.).</li><li>Create and maintain automation scripts using PowerShell (and other scripting languages).</li><li>Support backup and disaster recovery operations using tools like Veeam, Commvault, and Acronis (email, on-premises, and cloud workloads).</li><li>Collaborate with senior engineers on server, network, and security projects.</li><li>Maintain accurate documentation of systems, configurations, and support processes.</li><li>Troubleshoot and resolve escalated IT incidents within SLAs.</li></ul>Required Skills &amp; Knowledge<ul><li>Understanding of RMM tools (ManageEngine, SolarWinds, Acronis).</li><li>Strong interest and/or hands-on knowledge in scripting and automation (PowerShell required, Python/Bash a plus).</li><li>Familiarity with backup solutions such as Veeam, Commvault, Acronis.</li><li>Knowledge of email systems and migrations (Microsoft 365, Exchange, Google Workspace).</li><li>Good grasp of server and desktop support (Windows Server, Active Directory, group policies, etc.).</li><li>Networking fundamentals (TCP/IP, DNS, DHCP, VPN).</li><li>Strong problem-solving skills and ability to learn quickly.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field (preferred, not mandatory).</li><li>0&ndash;3 years of IT experience (internships, freelance projects, or labs are acceptable).</li><li>Relevant certifications (MCSA, CompTIA A+/Network+/Security+, Veeam Certified, etc.) will be an advantage.</li></ul>What We Offer<ul><li>Hands-on exposure to leading IT tools and enterprise environments.</li><li>Continuous learning and professional development opportunities.</li><li>A collaborative and growth-oriented work culture.</li><li>Competitive salary and benefits package.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Can you join Immediately?</li><li>What is your experience as an IT Specialist? (describe your expertise)</li><li>What is your expected monthly package in SAR?</li><li>What is your current monthly package SAR?</li><li>What is your nationality?</li></ul>Language:<ul><li>Arabic (Preferred)</li></ul>Location:<ul><li>Jeddah (Required)</li></ul>Willingness to travel:<ul><li>100% (Required)</li></ul>

IT Support Specialist (Immediate Joiners Required)

Sanofi

<div>We are seeking a highly motivated and visionary leader interested in shaping the management of people with Multiple Sclerosis.
As the Customer Experience Manager &ndash; Multiple Sclerosis, you will be based in Jeddah and responsible for shaping perceptions within the MS community by challenging traditional paradigms and building belief in the unique biology of disability progression independent of relapses.
You will also play a key role in enabling healthcare professionals to identify appropriate patients through targeted education and engagement.
Reporting to the Franchise Head, this role is strategically positioned to realize the ambition for Tolebrutinib and contribute to the overall future success of Sanofi. 
Your core responsibilities will include:<ul><li>
Mapping and segmenting accounts and developing in-depth knowledge of each identified key account including strategic goals, value drivers, relevant business metrics, and unique emerging needs</li><li>
Understanding key accounts&rsquo; critical stakeholders (e.g., MS Specialist, General Neurologist, MS Nurse and key decision makers), their roles, org structure and how they influence each other in the ecosystem to ensure account/departmental coordination</li><li>
Developing strategic account plans including prioritization, based on identified barriers to address and opportunities</li><li>
Co-creating solutions with accounts&rsquo; key decision-makers to remove operational barriers and supporting screening and monitoring initiatives</li><li>
Leveraging omnichannel approach (e.g., F2F, digital channels, portals, etc.) to ensure a high-touch and personalized engagement with key accounts&rsquo; and other stakeholders.</li><li>
Collaborating with cross-functional field-based teams (e.g., Market Access) in leading discussions on product access and formulary inclusion, administrative flows definition, and more generally to proactively address accounts&rsquo; needs and ensuring effective pull-through</li></ul><ul><li>
Engaging with HCPs and broader set of stakeholders who play a critical role in the patient pathway to convey an effective narrative on disease progression and create general disease awareness pre-launch and treatment options post-launch, leveraging innovative value story techniques and tailoring engagement to stakeholders&rsquo; level of maturity</li><li>
Informing customer segmentation and customer portrait / persona creation by sharing insights collected on the field</li></ul> 
About you 
Education:<ul><li>
BA/BS degree in pharmaceutical science.</li></ul>
Experience:<ul><li>
Minimum of 3-5 years Sales experience in Neurology (Preferably Multiple Sclerosis)</li><li>
Experience in driving successful product launches, with a proven track record of achieving sales targets and building strong customer engagement from launch.</li></ul> 
Soft skills:<ul><li>
Excellent interpersonal and communication skills, with ability to effectively engage internal and external stakeholders, build and cultivate strong working relationships</li><li>
Ability to work agile, demonstrate creativity and be a strong team player</li><li>
Self-driven, results-oriented with ambition for optimal results</li><li>
A solution-oriented mindset enabling effective and creative problem solving with customers' needs as a primary focus</li><li>
Ability to dynamically adjust priorities due to changing circumstances</li><li>
Agile learner who is comfortable operating in complex environments</li><li>
Ability to influence, impact and guide peers</li><li>
Ability to articulate and explain the strategy in a simple and clear way</li><li>
Ability to build proper environment to enable Playing to Win culture to flourish</li><li>
Role model for the agile way of working</li><li>
Team player: Collaborative thinking while keeping the collective dynamics in mind, seeks for collective success rather than individual success</li><li>
Growth mindset &amp; learning agility: Open to develop him/herself (receive &amp; give feedback)</li></ul>
Technical skills:<ul><li>
Demonstrated success across multiple field-based sales roles</li><li>
Strong customer relationship management capabilities</li><li>
In-depth knowledge of care pathway operations</li><li>
Skilled in leveraging an omnichannel strategy to deliver tailored, high-impact engagements with external experts, aligned to their maturity and preferences</li><li>
Strong commercial acumen with strategic and innovative thinking</li><li>
Influential communicator with the ability to lead and inspire without direct authority</li><li>
Proven expertise in disease education</li><li>
Proficient in digital tools and analytics; able to transform data and feedback into actionable insights</li><li>
Committed to full compliance with all relevant regulations</li></ul>
null</div>

Customer Experience Manager - Multiple Sclerosis

SALLA

<div>As the Head of Engineering for our Payment/Fintech division, you will oversee the development and optimization of our payment processing systems, including fraud detection, payout systems, and improving payment acceptance rates. You will lead the engineering team, set strategic technical direction, and collaborate with other departments to ensure the platform is secure, scalable, and efficient. Your experience in payment systems, fraud detection, and systems monitoring will be critical in safeguarding transactions and maintaining optimal platform performance.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
Supervisory &amp; Leadership Responsibilities:<ul>
<li>Engineering Standards &amp; Practices: Establish high engineering standards for the development of secure, scalable, and efficient payment and fraud detection systems, ensuring compliance with industry regulations.</li>
<li>Team Leadership &amp; Mentorship: Lead and mentor cross-functional engineering teams (including back-end, front-end, QA) with a focus on professional development, fostering innovation and ownership.</li>
<li>Cross-Functional Collaboration: Collaborate with Product, Compliance, Risk, and Finance teams to ensure payment systems, fraud detection protocols, and monitoring tools are aligned with business needs and regulatory standards.</li>
<li>Hiring &amp; Team Development: Recruit, develop, and retain top talent in payment and fintech engineering, fostering a culture of continuous learning and professional growth.</li>
</ul>Strategic Responsibilities:
<ul><li>Payment Infrastructure Strategy: Lead the development of the payment platform's architecture, focusing on improving transaction performance, scaling systems for growth, and reducing downtime.</li>
<li>Fraud Detection &amp; Prevention: Develop, use, and implement advanced fraud detection rules and machine learning models to detect suspicious activities in real-time, ensuring compliance with KYC, AML, and regulatory standards.
</li><li>Project &amp; Resource Management: Oversee the planning, development, and execution of payment and fraud detection features, ensuring projects are delivered on time, within scope, and within budget.</li>
<li>Payout Systems: Manage the development and optimization of payout systems, ensuring smooth and timely payments to merchants and stakeholders.</li>
<li>Risk Management &amp; Security: Ensure robust security measures are implemented to protect sensitive payment data, working with compliance teams to maintain adherence to standards such as PCI-DSS and GDPR.</li>
</ul>Industry Knowledge:<ul>
<li>Payment Processing Expertise: Lead the development and optimization of the payment processing system, reducing transaction failures and improving acceptance rates through smart routing, tokenization, and payment gateway integrations.</li>
<li>Fraud Detection Rules: Implement and refine fraud detection rules that adapt to changing fraud patterns, leveraging machine learning and analytics to minimize false positives and enhance real-time threat detection.</li>
<li>Payment Gateway Integration: Oversee the integration of multiple payment gateways, optimizing transaction routing and redundancy to ensure seamless processing.</li>
<li>Acceptance Rate Enhancement: Use data and analysis to identify and implement strategies for increasing payment acceptance rates, reducing transaction declines, and improving customer satisfaction.</li>
<li>Technical &amp; Knowledge Responsibilities:</li>
<li>Systems Monitoring &amp; Performance Management: Establish advanced monitoring systems for real-time tracking of payment transactions, fraud detection activities, system health, and performance metrics. Ensure prompt issue resolution and minimal system downtime.</li>
<li>Security &amp; Compliance: Ensure the platform complies with regulatory standards, focusing on fraud detection, anti-money laundering (AML), and Know Your Customer (KYC) regulations. Collaborate with legal and compliance teams to maintain certifications like PCI-DSS.</li>
<li>Data-Driven Decision Making: Leverage analytics and machine learning to monitor and predict system performance, fraud activities, and payment failures. Use data insights to continuously optimize the platform.</li>
</ul>Key Performance Indicators (KPIs):<ul>
<li>Payment Acceptance Rates: Enhance acceptance rates by optimizing payment gateways and transaction routing, while minimizing fraud-related chargebacks.</li>
<li>System Uptime &amp; Performance: Maintain high system availability (99.9%+) through proactive monitoring, ensuring consistent performance with minimal downtime.</li>
</ul><ul><li>Fraud Detection Efficiency: Improve fraud detection accuracy, reducing false positives while maintaining high levels of fraud prevention and detection.</li>
<li>Customer Satisfaction: Deliver a seamless payment experience by reducing transaction failures and fraud-related issues, improving NPS scores and customer engagement.</li>
</ul>Requirements<ul>
<li>10+ years of experience in software engineering, with 5+ years in a leadership role within payment processing or fintech.</li>
<li>Extensive experience with fraud detection systems, payment gateways, and high-volume transaction platforms.</li>
<li>Expertise in payout systems, payment acceptance rate optimization, and secure transaction management.</li>
<li>Strong knowledge of regulatory standards (PCI-DSS, AML, GDPR).</li>
<li>Expertise in cloud-based infrastructure (AWS, Cloudflare, ..etc) and real-time system monitoring.</li>
<li>Strong leadership skills with a focus on mentoring and growing high-performing teams.</li>
<li>Ability to balance strategic thinking with hands-on problem-solving in a fast-paced fintech environment.</li>
<li>Experience with fraud detection algorithms, machine learning models, and data-driven decision-making is a plus.</li></ul></div>

Head of Engineering ( Payment )

Lucidya

<div>Lucidya is the leading customer experience intelligence platform in the MENA region, helping organizations deeply understand and serve their customers using cutting-edge AI. As we expand our AI capabilities, we are building agentic AI services that can reason, plan, and act autonomously to deliver real business value.
We are looking for an AI Agent Architect to design and lead the architecture of our next-generation AI agent systems.
As an AI Agent Architect, you will own the end-to-end design of agent systems at Lucidya. Your role is to define how agents reason, interact with tools, collaborate as multi-agent systems, manage memory, and operate safely at scale. You will work closely with ML engineers, backend engineers, product managers, and UX designers to turn advances in LLMs and agent frameworks into robust, production-ready systems fully integrated with Lucidya&rsquo;s platform.
We are seeking someone with a deep understanding of AI technologies who can architect systems that enable intelligent, goal-driven behaviors in our products. Collaboration is key: you will work across teams to align AI solutions with business needs, enhance user experiences, and bring innovative ideas from concept to production.<h3 class="jobSectionHeader">
Key Tasks &amp; Responsibilities</h3><ul>
<li>Design and implement the architecture of Lucidya&rsquo;s AI agents, including reasoning loops, planning, reflection, and multi-agent collaboration.
</li><li>Research and apply state-of-the-art methods in machine learning, natural language processing, and reinforcement learning.
</li><li>Guide the development of prototypes and proof-of-concept models, experimenting with emerging technologies.
</li><li>Collaborate with software engineers and data scientists to integrate AI capabilities seamlessly into Lucidya products.
</li><li>Architect scalable and secure agent&ndash;tool interactions (e.g., CRM, analytics APIs, external systems).
</li><li>Ensure AI solutions align with product goals and deliver measurable business value.
</li><li>Design short-term and long-term memory architectures for agents.
</li><li>Build retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS).
</li><li>Conduct evaluations of agent performance and optimize algorithms based on analytics and user feedback.
</li><li>Define observability standards for monitoring, debugging, and improving agent behaviors.
</li><li>Produce clear design documentation, specifications, and best practices for AI agent development.
</li><li>Establish AI governance and safety guardrails, ensuring agents act responsibly and in compliance with regulations.
</li><li>Stay current on the latest advancements in LLM, multi-agent, and AI systems research.
</li><li>Mentor engineers on agent orchestration and AI architecture best practices.
</li><li>Act as the subject matter expert and key driver of agentic AI within Lucidya.</li>
</ul>Requirements<ul>
<li>BA/BS or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
</li><li>5+ years of experience in AI/ML development with a proven track record in AI system architecture.
</li><li>Demonstrated experience designing and deploying LLM-driven or multi-agent AI systems.
</li><li>Strong knowledge of AI algorithms, including supervised, unsupervised, and reinforcement learning.
</li><li>Proficiency in programming languages such as Python (Java or equivalent a plus).
</li><li>Hands-on experience with ML frameworks (TensorFlow, PyTorch).
</li><li>Expertise in LLM frameworks (LangChain, LlamaIndex, AutoGen, Semantic Kernel).
</li><li>Experience with natural language processing and modern NLP libraries.
</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights &amp; Biases, Docker, Kubernetes).
</li><li>Solid grounding in software architecture principles and distributed systems.
</li><li>Strong analytical and problem-solving skills with an innovative mindset.
</li><li>Excellent communication skills, capable of articulating complex ideas clearly and persuasively.
</li><li>Collaborative team player with the ability to lead discussions on AI system design.</li>
</ul>Benefits<h3 class="jobSectionHeader">
Why Join Us?</h3>
This is more than just an engineering role. it&rsquo;s an opportunity to shape the infrastructure and technical future of Lucidya. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company&rsquo;s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</div>

AI Agent Architect (Saudi-based only)

Lucidya | لوسيديا

<div>
 Lucidya is the leading customer experience intelligence platform in the MENA region, helping organizations deeply understand and serve their customers using cutting-edge AI. As we expand our AI capabilities, we are building agentic AI services that can reason, plan, and act autonomously to deliver real business value.
 
 
 We are looking for an AI Agent Architect to design and lead the architecture of our next-generation AI agent systems.
 
 
 As an AI Agent Architect, you will own the end-to-end design of agent systems at Lucidya. Your role is to define how agents reason, interact with tools, collaborate as multi-agent systems, manage memory, and operate safely at scale. You will work closely with ML engineers, backend engineers, product managers, and UX designers to turn advances in LLMs and agent frameworks into robust, production-ready systems fully integrated with Lucidya's platform.
 
 
 We are seeking someone with a deep understanding of AI technologies who can architect systems that enable intelligent, goal-driven behaviors in our products. Collaboration is key: you will work across teams to align AI solutions with business needs, enhance user experiences, and bring innovative ideas from concept to production.
 
 
 
 Key Tasks &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement the architecture of Lucidya's AI agents, including reasoning loops, planning, reflection, and multi-agent collaboration.
 </li>
 <li>
 Research and apply state-of-the-art methods in machine learning, natural language processing, and reinforcement learning.
 </li>
 <li>
 Guide the development of prototypes and proof-of-concept models, experimenting with emerging technologies.
 </li>
 <li>
 Collaborate with software engineers and data scientists to integrate AI capabilities seamlessly into Lucidya products.
 </li>
 <li>
 Architect scalable and secure agent-tool interactions (e.g., CRM, analytics APIs, external systems).
 </li>
 <li>
 Ensure AI solutions align with product goals and deliver measurable business value.
 </li>
 <li>
 Design short-term and long-term memory architectures for agents.
 </li>
 <li>
 Build retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Conduct evaluations of agent performance and optimize algorithms based on analytics and user feedback.
 </li>
 <li>
 Define observability standards for monitoring, debugging, and improving agent behaviors.
 </li>
 <li>
 Produce clear design documentation, specifications, and best practices for AI agent development.
 </li>
 <li>
 Establish AI governance and safety guardrails, ensuring agents act responsibly and in compliance with regulations.
 </li>
 <li>
 Stay current on the latest advancements in LLM, multi-agent, and AI systems research.
 </li>
 <li>
 Mentor engineers on agent orchestration and AI architecture best practices.
 </li>
 <li>
 Act as the subject matter expert and key driver of agentic AI within Lucidya
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 BA/BS or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
 </li>
 <li>
 5+ years of experience in AI/ML development with a proven track record in AI system architecture.
 </li>
 <li>
 Demonstrated experience designing and deploying LLM-driven or multi-agent AI systems.
 </li>
 <li>
 Strong knowledge of AI algorithms, including supervised, unsupervised, and reinforcement learning.
 </li>
 <li>
 Proficiency in programming languages such as Python (Java or equivalent a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Expertise in LLM frameworks (LangChain, LlamaIndex, AutoGen, Semantic Kernel).
 </li>
 <li>
 Experience with natural language processing and modern NLP libraries.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights &amp; Biases, Docker, Kubernetes).
 </li>
 <li>
 Solid grounding in software architecture principles and distributed systems.
 </li>
 <li>
 Strong analytical and problem-solving skills with an innovative mindset.
 </li>
 <li>
 Excellent communication skills, capable of articulating complex ideas clearly and persuasively.
 </li>
 <li>
 Collaborative team player with the ability to lead discussions on AI system design
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Join Us?
 
 
 
 
 This is more than just an engineering role. it's an opportunity to shape the infrastructure and technical future of Lucidya. You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
 
 
 We offer Employee Stock Option Plans (ESOP) to give you ownership in the company's success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.
</div>

Explore 121+ Learning analytics specialist in Jeddah this September. Find roles across top companies and apply now to boost your career.

121 learning analytics specialist jobs IN Jeddah

Learning Analytics Specialist

E-com Merchandising & Catalog Specialist

IT Support Specialist (Immediate Joiners Required)

Customer Experience Manager - Multiple Sclerosis

Head of Engineering ( Payment )

AI Agent Architect (Saudi-based only)

AI Agent Architect (Saudi-based only)