science

m2r Education

<div>Ref: 3788
<div>
<div><div><div>Salary/Benefits: c &pound;4700 / $5700 per mth TAX FREE, compound accommodation, transportation, visa, medical, ret flights
Location: Saudi Arabia
Sector: Face to Face Tutoring
</div><div>m2r Education are recruiting on behalf of an ultra-high-net-worth family in Saudi Arabia who are seeking a highly experienced Female Science Tutor to deliver one-to-one tuition at KS3, KS4 and KS5 level. This is a full-time, residential tutoring role based in Riyadh, with occasional domestic travel and potential for international travel, depending on the family&rsquo;s schedule.
</div><div>This opportunity is best suited to a UK-trained Science Teacher with a stable career history in leading UK or British international schools, and strong experience teaching Cambridge and Pearson Edexcel curricula.
Reporting to the Education Team Leader, you will be responsible for the planning, design and delivery of personalised Business lessons, tailored to the individual student&rsquo;s needs and learning style. Tuition will take place face-to-face within the family residence.
Hours: Full-time, 40 hours per week
 
Location: Riyadh, Saudi Arabia (with travel as required)
Key Responsibilities:
<ul><li>Plan and deliver high-quality one-to-one Science tuition across KS3 &amp; KS4 (KS5 experience is advantageous)</li>
<li>Experience teaching English up to Key Stage 3 (or confidence/ability to do so)</li>
<li>Develop engaging, age-appropriate lesson materials aligned with Cambridge / Pearson Edexcel curricula</li>
<li>Use creative, hands-on and experiential learning strategies to enhance engagement</li>
<li>Track progress through formative and summative assessment</li>
<li>Provide detailed academic feedback and clear development strategies</li>
<li>Maintain accurate records of progress, achievements and learning goals</li>
<li>Foster critical thinking, independence, resilience and a growth mindset</li>
<li>Identify and support any additional academic or learning needs</li>
</ul>Candidate Requirements:
<ul><li>Specialism in Science / Secondary Education (essential)</li>
<li>Proven experience teaching KS3 and KS4 (ideally KS5), in UK or British international schools</li>
<li>Strong experience delivering differentiated and personalised learning</li>
<li>Familiarity with UK and international curricula (Pearson Edexcel preferred)</li>
<li>Excellent communication skills with students and parents</li>
<li>Confident, organised and adaptable teaching approach</li>
<li>High level of professionalism and discretion</li>
<li>Ability to travel independently</li>
<li>Male candidates only (client requirement)</li>
</ul>Qualifications:
<ul><li>Bachelor&rsquo;s degree in Science or related subject (required)</li>
<li>QTS or equivalent teaching qualification (required)</li>
<li>Minimum 3 years&rsquo; full-time post-qualification teaching experience</li>
<li>Experience teaching the Pearson Edexcel curriculum in a UK or international setting</li>
</ul>Salary &amp; Benefits Package:
<ul><li>Tax-free salary: circa &pound;4,700 per month</li>
<li>Single, compound-based accommodation</li>
<li>Transportation provided</li>
<li>Comprehensive medical insurance</li>
<li>Return flights</li>
<li>Work visa sponsorship</li>
<li>1-year renewable contract</li>
</ul>ASAP start date
Due to the high volume of applications, only shortlisted candidates will be contacted. If you have not heard from us within 5 working days, please consider your application unsuccessful.</div></div></div></div></div>

Science Tutor (male)

SEK International Schools

<div>
 We are seeking an experienced and adaptable
 
 MYP Mathematics and Science Teacher
 
 to teach across the IB Middle Years Programme in a
 
 multigrade classroom context
 
 . This role requires confidence teaching mathematics and across the science disciplines, with a strong ability to differentiate learning to meet the needs of a diverse and evolving student population.
 
 
 
 The Role
 
 
 
 <ul>
 <li>
 Teach IB MYP Mathematics and Science in multigrade classes, ensuring appropriate challenge and progression for all learners.
 </li>
 <li>
 Plan coherent, engaging units that integrate the IB framework with Common Core Standards (Mathematics) and Next Generation Science Standards (Science).
 </li>
 <li>
 Design learning that meets students where they are, prioritising growth, engagement and conceptual understanding over coverage alone.
 </li>
 <li>
 Make learning authentic and contextdriven, taking full advantage of the local environment and the destination&rsquo;s focus on sustainability, marine science and conservation.
 </li>
 <li>
 Deliver practical, inquirybased science learning, including the preparation and safe management of laboratory activities.
 </li>
 <li>
 Use technology and digital platforms effectively to enhance learning, including emerging tools such as AI.
 </li>
 <li>
 Act as a tutor, supporting student wellbeing and serving as a key link between school and families.
 </li>
 <li>
 Collaborate closely with colleagues, including vertical alignment with Primary teachers, to ensure strong progression and coherence across Mathematics and Science.
 </li>
 <li>
 Contribute flexibly to the wider life of the school, as required in a startup environment.
 
 
 </li>
 </ul>
 
 The Ideal Candidate
 
 
 
 <ul>
 <li>
 Has experience teaching the IB MYP (essential).
 </li>
 <li>
 Is confident teaching Mathematics and across the Science disciplines.
 </li>
 <li>
 Is a skilled planner with experience managing complex learning environments.
 </li>
 <li>
 Demonstrates strong differentiation practice for multigrade and diverse classes.
 </li>
 <li>
 Is adaptable, resilient and comfortable working in a developing school context.
 </li>
 <li>
 Enjoys collaboration and takes initiative beyond their subject area.
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 A unique opportunity to help shape a new school and establish Mathematics and Science provision from the ground up.
 </li>
 <li>
 Stateoftheart facilities, including a dedicated science lab.
 </li>
 <li>
 Access to the SEK Education Group&rsquo;s professional learning network.
 </li>
 <li>
 Live and work in an area focused on sustainability, wellness and marine conservation &mdash; with accommodation a short walk from the school.
 
 
 </li>
 </ul>
 
 Starting salary: 140.000 SAR / Year
 
 
 
 Final salary is based on relevant qualifications and experience. Accommodation is also provided as an additional benefit and included for staff at no additional cost.
 
 
 At SEK Education Group, we use technology tools with artificial intelligence capabilities to support the management of our recruitment processes. These tools help us with tasks such as managing communications and organizing applications. All decisions regarding your application are always made by a member of our team. For more information, please see our privacy policy: http://rgpd.sek.es/politica-privacidad
 
 
</div>

MYP Mathematics and Science Teacher

Maaden

<div>
 
 Job Purpose
 
 
 
 
 JOB DESCRIPTION
 
 
 
 <ul>
 <li>
 The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
 </li>
 <li>
 The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
 </li>
 <li>
 Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow
 
 
 </li>
 </ul>
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Lead End-to-End Data Science Delivery
 </li>
 <li>
 Developing, implementing and maintaining databases and data collection systems
 </li>
 <li>
 Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
 </li>
 <li>
 Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
 </li>
 <li>
 Performing statistical analysis to understand and interpret data insights
 </li>
 <li>
 Applying data mining techniques to identify patterns, trends, and relationships in large datasets
 </li>
 <li>
 Building predictive models and machine learning algorithms to forecast future outcomes
 </li>
 <li>
 Creating clear data visualizations and reports to communicate findings to stakeholders
 </li>
 <li>
 Working with cross-functional teams to understand business needs and provide data-driven solutions
 </li>
 <li>
 Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
 </li>
 <li>
 Ensuring data security and compliance with relevant regulations
 </li>
 <li>
 Drive experimentation, model versioning, automated retraining, and continuous improvement.
 </li>
 <li>
 Translate Business Needs into AI/Analytics Solutions
 </li>
 <li>
 Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
 </li>
 <li>
 Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
 </li>
 <li>
 Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.
 </li>
 <li>
 Industrialize AI/ML Models (ML Ops &amp; Architecture)
 </li>
 <li>
 Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
 </li>
 <li>
 Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
 </li>
 <li>
 Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
 </li>
 <li>
 Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements
 </li>
 <li>
 Responsible AI, Quality &amp; Governance
 </li>
 <li>
 Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
 </li>
 <li>
 Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
 </li>
 <li>
 Ensure transparency, explainability, and continuous model governance across production and enterprise environments
 </li>
 <li>
 Stakeholder Management &amp; Value Realization
 </li>
 <li>
 Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
 </li>
 <li>
 Track value realization, adoption metrics, and operational impact to ensure measurable benefit.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 
 Minimum Qualification, Experience and Core Competencies:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 Good to Have Capabilities
 
 
 <ul>
 <li>
 Minimum Experience:
 </li>
 <li>
 6+ years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
 </li>
 <li>
 Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
 </li>
 <li>
 Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS) &ndash; Microsoft AI Factory
 </li>
 <li>
 Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
 </li>
 <li>
 Machine Learning &amp; Advanced Analytics
 </li>
 <ul>
 <li>
 Hands-on experience developing and deploying machine learning models, including time-series forecasting, predictive modeling, and optimization use cases
 </li>
 <li>
 Strong understanding of model performance, validation, stability, and business impact
 </li>
 </ul>
 <li>
 Generative AI &amp; AI Agents
 </li>
 <ul>
 <li>
 Practical experience with Generative AI solutions, including copilots, intelligent automation, and agent-based workflows
 </li>
 <li>
 Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
 
 
 </li>
 </ul>
 </ul>
 Preferred Experience &amp; Platforms
 
 
 <ul>
 <li>
 Data Engineering (IT + OT)
 </li>
 <li>
 Experience designing and maintaining data pipelines across IT and OT environments
 </li>
 <li>
 Exposure to sensor data, streaming / real-time data processing, and industrial data sources
 </li>
 <li>
 Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
 </li>
 <li>
 MLOps / AgentOps
 </li>
 <li>
 Experience in model deployment and lifecycle management, including:
 </li>
 <ul>
 <li>
 Transition from model development to production and scale
 </li>
 <li>
 Monitoring, retraining, versioning, and drift management
 </li>
 </ul>
 <li>
 Familiarity with automation and operationalization of ML/AI workloads
 </li>
 </ul>
 <ul>
 <li>
 Cloud &amp; Analytics Platforms
 </li>
 <li>
 Experience working with enterprise cloud platforms, preferably:
 </li>
 <ul>
 <li>
 Microsoft Azure Data Platform
 </li>
 <li>
 Databricks AI Platform
 </li>
 <li>
 Microsoft AI Foundry / Microsoft AI Factory
 </li>
 </ul>
 <li>
 Understanding of cloud-native architectures for scalable analytics and AI solutions
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
 </li>
 <li>
 Adoption &amp; Business Impact: Value realized, user adoption, integration success.
 </li>
 <li>
 Delivery Velocity: Timeliness of development cycles and deployment readiness.
 </li>
 <li>
 Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.
 </li>
 </ul>
</div>

Lead Specialist, Data Science & Analytics II

MA'ADEN

<div><div>Job Purpose
Design, develop, and deploy machine learning and Generative AI solutions to solve defined business problems, ensuring technical robustness, model performance, and responsible AI implementation. 
 Key Accountabilities
<div><ul><li>Develop, test, and validate machine learning, deep learning, and Generative AI models (including LLM-based applications).
</li></ul><ul><li>Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
</li></ul><ul><li>Perform feature engineering, model tuning, and performance optimization.
</li></ul><ul><li>Prepare, cleanse, and transform structured and unstructured datasets.
</li></ul><ul><li>Support deployment of ML and GenAI models using MLOps and LLMOps practices.
</li></ul><ul><li>Conduct structured evaluation of LLM outputs including hallucination detection and quality scoring.
</li></ul><ul><li>Integrate AI solutions via APIs into enterprise systems.
</li></ul><ul><li>Document model design, assumptions, risks, and validation results.
</li></ul><ul><li>Ensure compliance with data governance, cybersecurity, and ethical AI guidelines.
</li></ul><ul><li>Support monitoring, retraining, and lifecycle management of deployed models.
</li></ul></div>Minimum Qualification, Experience and Competencies
<div><ul><li>Minimum Qualification
</li></ul></div><ul><li>Bachelor&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field
</li></ul>Minimum Experience
<ul><li>4&ndash;6 years in data science, machine learning, or applied AI roles.
</li></ul>Skills:
<ul><li>Python, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
</li><li>Prompt engineering
</li><li>RAG pipelines &amp; vector databases
</li><li>Model fine-tuning and evaluation
</li><li>Data preprocessing &amp; feature engineering
</li><li>Basic cloud deployment concepts
</li><li>MLOps / LLMOps fundamentals
</li><li>Analytical problem-solving
</li><li>Results Orientation
</li><li>Collaboration
</li><li>Continuous Improvement
</li><li>Accountability</li></ul></div></div>

Senior Specialist, Data Science & Analytics II

Confidential Government

<div>
 
 We are seeking a skilled
 
 Data Analytics Manager
 
 to lead our data analytics team, driving insights and supporting data-driven decision-making across the organization.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Lead and manage the data analytics team to deliver actionable insights.
 </li>
 <li>
 Design, implement, and maintain data models, dashboards, and reporting tools.
 </li>
 <li>
 Collaborate with business units to understand analytics needs and translate them into solutions.
 </li>
 <li>
 Analyze complex datasets to identify trends, patterns, and opportunities.
 </li>
 <li>
 Ensure data quality, integrity, and governance across analytics initiatives.
 </li>
 <li>
 Present insights and recommendations to senior management to support strategic decisions.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, Statistics, Computer Science, or a related field (master&rsquo;s preferred).
 </li>
 <li>
 7+ years of experience in data analytics, with at least 3 years in a managerial role.
 </li>
 <li>
 Strong knowledge of data visualization tools (e.g., Power BI, Tableau) and analytics platforms.
 </li>
 <li>
 Proficiency in SQL, Python, R, or similar analytics languages.
 </li>
 <li>
 Excellent leadership, communication, and problem-solving skills.
 </li>
 </ul>
</div>

Data Analytics Manager

Qureos

Position SummaryThe Computing Instructor – (IT, CS &amp; Software Engineering) for ICT Disciplines is responsible for delivering high-quality instruction that introduces students to the fundamental concepts and principles of Information Technology, Software Engineering, and Computer Science. This position serves to orient students to the computing field, help them understand the core differences between these three major pathways, explore real-world applications and career opportunities, and build foundational knowledge in computing concepts. The instructor helps students make informed decisions about their major selection while developing essential computational thinking skills.  Key Responsibilities:  Instruction &amp; Delivery:<ul><li>Teach introductory computing courses such as Foundations of Computing, Introduction to ICT Disciplines, Computing Thinking &amp; Problem Solving, or Computing Careers &amp; Pathways.</li><li>Deliver engaging instruction that explores the fundamental concepts common to all computing disciplines, including algorithms, data representation, networks, and cybersecurity basics.</li><li>Provide clear explanation of the distinctions between Information Technology (practical application and management of systems), Software Engineering (design and development of software products), and Computer Science (theoretical foundations and algorithmic thinking).</li><li>Use case studies, industry examples, hands-on labs, and real-world projects to contextualize learning and demonstrate practical applications.</li><li>Guide students in understanding career pathways, industry roles, and emerging technologies in each discipline.</li></ul>Curriculum &amp; Planning:<ul><li>Participate in curriculum development and continuous program improvement.</li><li>Develop engaging lesson plans that align with course objectives, computing standards, and institutional standards.</li><li>Stay current with developments in computing fields, emerging technologies, and industry trends.</li></ul>Student Support &amp; Environment:<ul><li>Create a supportive, inclusive learning environment that encourages curiosity, computational thinking, and exploration of computing disciplines.</li><li>Support students through office hours, academic advising, major selection guidance based on interests and strengths, and pastoral care.</li><li>Help students overcome anxiety or lack of confidence related to computing by building foundational skills and knowledge.</li></ul>Assessment:<ul><li>Assess student understanding through various formative and summative assessment methods.</li><li>Provide constructive feedback to help students develop computational thinking skills and build confidence with computing concepts.</li></ul>Collaboration &amp; Administration:<ul><li>Collaborate with IT, Software Engineering, and Computer Science program faculty to ensure alignment with degree program requirements and learning outcomes.</li><li>Maintain detailed records of student progress and attendance.</li><li>Participate in department meetings and professional development activities.</li></ul> Required Qualifications:  Essential:<ul><li>Master's degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a closely related field from an accredited university.</li><li>Minimum 2 years of professional teaching experience at the university level or equivalent professional practice in computing disciplines.</li><li>Strong subject matter expertise in computing fundamentals and broad knowledge of current trends across Information Technology, Software Engineering, and Computer Science.</li><li>Ability to clearly explain and differentiate between the three computing discipline pathways.</li><li>Fluency in English (written and oral) to support teaching in an English-medium academic environment.</li></ul> Preferred:<ul><li>Experience teaching in international, English-medium, or foundation year programs.</li><li>Professional experience in industry across multiple computing disciplines (e.g., IT operations, software development, systems design).</li><li>Familiarity with case-based learning, problem-based learning, or project-based learning pedagogies.</li></ul> Knowledge, Skills, and Attributes:<ul><li>Comprehensive knowledge of computing fundamentals and the breadth of computing disciplines.</li><li>Ability to make complex computing concepts accessible and engaging to novice learners.</li><li>Strong pedagogical skills and commitment to learner-centered teaching, particularly in building confidence with technology.</li><li>Proficiency in classroom management and creating inclusive, equitable learning environments.</li><li>Commitment to professional development and continuous improvement, including staying current with computing field developments.</li></ul>

Computing Instructor – (IT, CS & Software Engineering)

InnovationTeam

<div>InnovationTeam is a forward-thinking technology company specialized in delivering advanced AI-driven solutions for enterprises and government organizations. We are currently seeking a highly skilled AI Team Lead to join our team onsite in Saudi Arabia.
As an AI Team Lead at InnovationTeam, you will be responsible for leading the design, development, implementation, and delivery of end-to-end AI solutions across multiple domains, including Generative AI, machine learning, deep learning, data science, computer vision, NLP, intelligent automation, and enterprise AI systems.
This role is not limited to Generative AI. It requires a strong technical background across modern AI technologies, hands-on experience in building production-ready AI solutions, and the leadership capability to manage AI engineers, data scientists, ML engineers, and cross-functional delivery teams.
The ideal candidate is a strong technical leader who can translate business requirements into scalable AI solutions, manage project execution, guide technical teams, communicate with stakeholders, and ensure successful delivery of AI initiatives within scope, timeline, and quality standards.
At InnovationTeam, we value innovation, ownership, collaboration, and continuous learning. We provide a dynamic work environment where technical excellence, leadership, and business impact are highly recognized. 
Requirements 
We are seeking an experienced AI Team Lead to lead onsite AI delivery in Saudi Arabia. The role involves managing AI projects, supervising technical teams, designing AI architectures, developing enterprise-grade solutions, and ensuring successful deployment of AI systems into production.
The candidate should have strong experience in Generative AI, machine learning, deep learning, data science, AI solution architecture, MLOps/LLMOps, cloud deployment, and project management.
Key Responsibilities<ul><li>
Lead the AI team in designing, developing, and delivering enterprise AI solutions.</li><li>
Manage AI projects from requirement gathering to production deployment.</li><li>
Translate business needs into technical AI solution designs and implementation plans.</li><li>
Design and supervise solutions involving Generative AI, LLMs, RAG systems, AI agents, NLP, machine learning, deep learning, and computer vision.</li><li>
Lead data science initiatives, including data analysis, feature engineering, model development, evaluation, and optimization.</li><li>
Build and oversee end-to-end AI pipelines, including data ingestion, preprocessing, model training, inference, monitoring, and continuous improvement.</li><li>
Guide the implementation of machine learning and deep learning models using frameworks such as PyTorch, TensorFlow, Scikit-learn, and related tools.</li><li>
Supervise the development of AI agents, chatbots, recommendation systems, classification models, predictive analytics, and intelligent automation solutions.</li><li>
Define AI architecture, integration patterns, APIs, microservices, and deployment strategies.</li><li>
Ensure AI solutions are scalable, secure, reliable, cost-efficient, and production-ready.</li><li>
Collaborate with business stakeholders, product teams, data teams, software engineers, and cloud teams.</li><li>
Manage task allocation, technical reviews, project milestones, risks, and delivery timelines.</li><li>
Establish best practices for MLOps, LLMOps, model governance, model monitoring, documentation, and quality assurance.</li><li>
Support presales and client discussions by providing technical input, solution proposals, effort estimation, and feasibility assessments.</li><li>
Ensure AI solutions comply with security, privacy, governance, and responsible AI principles.</li><li>
Mentor and coach AI engineers, ML engineers, data scientists, and junior team members.</li><li>
Stay up to date with the latest developments in AI, machine learning, deep learning, Generative AI, cloud AI services, and enterprise AI platforms.</li></ul>
Required Skills &amp; Qualifications<ul><li>
Minimum 5 years of professional experience in AI, machine learning, data science, or related technology fields.</li><li>
Minimum 2&ndash;3 years of experience leading AI teams or managing AI solution delivery.</li><li>
Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related field.</li><li>
Strong hands-on experience in machine learning, deep learning, NLP, Generative AI, and data science.</li><li>
Solid understanding of LLMs, RAG architectures, AI agents, vector databases, prompt engineering, and model evaluation.</li><li>
Strong experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex.</li><li>
Experience in building and deploying ML/DL models for real-world enterprise use cases.</li><li>
Strong understanding of supervised learning, unsupervised learning, classification, regression, clustering, recommendation systems, forecasting, and anomaly detection.</li><li>
Experience with data preparation, data quality assessment, feature engineering, model training, validation, testing, and performance monitoring.</li><li>
Strong software engineering knowledge, including REST APIs, microservices, Docker, Kubernetes, CI/CD, and Git.</li><li>
Experience deploying AI workloads on cloud platforms such as OCI, Azure, AWS, or GCP. OCI experience is preferred.</li><li>
Knowledge of MLOps and LLMOps practices, including model versioning, monitoring, retraining, evaluation, and deployment automation.</li><li>
Strong project management skills, including planning, estimation, risk management, stakeholder communication, and delivery tracking.</li><li>
Ability to communicate complex technical concepts clearly to business and technical stakeholders.</li><li>
Excellent problem-solving, analytical, leadership, and decision-making skills.</li><li>
Excellent command of English, both written and spoken.</li><li>
Willingness to work onsite in Saudi Arabia.</li></ul>
Nice to Have<ul><li>
Experience in government, healthcare, finance, telecom, or regulated enterprise environments.</li><li>
Experience with GPU-based model training and inference optimization.</li><li>
Experience with computer vision, OCR, document AI, speech AI, or multimodal AI systems.</li><li>
Experience with Azure OpenAI, Oracle AI Services, AWS Bedrock, Google Vertex AI, or similar enterprise AI platforms.</li><li>
Knowledge of AI governance, responsible AI, data privacy, cybersecurity, and compliance frameworks.</li><li>
Experience in presales, technical proposal preparation, and client-facing solution presentations.</li><li>
Arabic language skills are an advantage.</li></ul> 

Benefits 
<ul><li>
Opportunity to lead strategic AI initiatives in Saudi Arabia.</li><li>
Work on advanced AI solutions across Generative AI, machine learning, deep learning, and data science.</li><li>
Leadership role with direct impact on enterprise and government AI transformation projects.</li><li>
Collaborative and innovation-driven work environment.</li><li>
Competitive compensation package.</li><li>
Access to modern AI infrastructure, cloud platforms, and enterprise data environments.</li><li>
Professional growth, leadership development, and continuous learning opportunities.</li></ul></div>

AI Team Lead

Explore 121+ Science in Saudi Arabia this July. Find roles across top companies and apply now to boost your career.