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[ksa] data & ai – senior consultant / associate manager Jobs in Riyadh

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senior data modeler consultant

senior data scientist

Brainlake

<div>
 We're looking for an experienced
 
 Senior Data Scientist
 
 to design and deliver data-driven solutions that solve complex business problems and create measurable impact.
 
 
 Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.
 
 
 
 Requirements
 
 
 
 
 What You'll Do
 
 
 
 ❏ Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities
 
 
 ❏ Translate business requirements into scalable data science and machine learning solutions
 
 
 ❏ Validate data availability and define analytical approaches for new use cases
 
 
 ❏ Build predictive models, machine learning solutions, and GenAI applications
 
 
 ❏ Design robust data pipelines and analytical workflows
 
 
 ❏ Apply data processing, feature engineering, and statistical modelling techniques
 
 
 ❏ Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices
 
 
 ❏ Present analytical findings and recommendations to technical and executive stakeholders
 
 
 ❏ Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way
 
 
 ❏ Mentor junior team members and support technical delivery across multiple initiatives
 
 
 
 You're Our Match If You Have
 
 
 
 ❏ Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field
 
 
 ❏ 5+ years of hands-on experience delivering data science or machine learning solutions
 
 
 ❏ Strong Python programming skills and experience with modern data science libraries
 
 
 ❏ Experience building predictive models, machine learning solutions, and GenAI applications
 
 
 ❏ Strong understanding of statistics, data modelling, and feature engineering
 
 
 ❏ Experience designing scalable data pipelines and production-ready AI solutions
 
 
 ❏ Familiarity with MLOps, model deployment, and machine learning lifecycle management
 
 
 ❏ Excellent stakeholder management and communication skills
 
 
 ❏ Ability to translate complex technical concepts into business value
 
 
 
 Bonus Points If You Have Experience With
 
 
 
 ❏ Telecommunications or other customer-centric industries
 
 
 ❏ Large-scale customer analytics and segmentation
 
 
 ❏ Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
 
 
 ❏ Cloud platforms such as Azure, AWS, or Google Cloud
 
 
 ❏ Databricks, Spark, or distributed data processing
 
 
 ❏ Docker, Kubernetes, or CI/CD pipelines
 
 
 ❏ Leading or mentoring technical teams
</div>

Senior Data Scientist

Noventiq GCC

<div>
 
 Job Description
 
 
 
 Noventiq is expanding its team &amp; is on the lookout for goal-oriented, self-driven &amp; motivated individuals, to support the next phase of company&rsquo;s growth strategy.
 
 
 Industry: IT/Cloud Services
 
 
 Location: Riyadh, KSA
 
 
 Job Title &ndash; Senior Solutions Architect
 
 
 
 Role Overview
 
 
 
 We are looking for a
 
 Senior Solutions Architect &ndash; Data &amp; AI
 
 who can independently lead customer engagements, shape complex solutions, and drive strategic conversations across business and technology stakeholders.
 
 
 This role requires a
 
 self-driven, client-facing architect
 
 who is comfortable owning the entire solution lifecycle&mdash;from discovery to proposal&mdash;while specializing in
 
 modern data platforms, analytics, and AI/ML solutions on Azure
 
 .
 
 
 
 Fluency in Arabic is mandatory
 
 , as the role will involve direct engagement with Middle East customers.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Client Engagement &amp; Solution Ownership
 </li>
 <li>
 Act as the primary solutions architect in customer discussions&mdash;owning conversations end-to-end without dependency.
 </li>
 <li>
 Lead CXO-level and technical workshops, translating business challenges into scalable Data &amp; AI solutions.
 </li>
 <li>
 Independently drive solution discovery, architecture definition, and proposal creation.
 </li>
 <li>
 Build trusted advisor relationships with customer stakeholders, especially within Arabic-speaking regions.
 </li>
 <li>
 Data, AI &amp; Application Architecture
 </li>
 <li>
 Design and architect end-to-end enterprise solutions, including:
 </li>
 <ul>
 <li>
 Modern Data Platforms (Data Warehouses, Lakehouse, real-time analytics)
 </li>
 <li>
 AI/ML solutions (predictive analytics, NLP, GenAI, copilots)
 </li>
 <li>
 Application architectures (microservices, APIs, event-driven systems)
 </li>
 </ul>
 <li>
 Integrate data platforms with enterprise applications (CRM, ERP, custom apps).
 </li>
 <li>
 Define data strategies, API strategies, and application integration models.
 </li>
 <li>
 Ensure solutions are scalable, secure, high-performing, and cost-optimize
 </li>
 <li>
 Pre-Sales Leadership
 </li>
 <li>
 Lead the technical component of bids, proposals, and RFP responses.
 </li>
 <li>
 Develop high-quality solution artifacts:
 </li>
 <ul>
 <li>
 Architecture diagrams
 </li>
 <li>
 Cost models &amp; TCO optimization
 </li>
 <li>
 Implementation roadmaps
 </li>
 <li>
 Value propositions aligned to business outcomes
 </li>
 </ul>
 <li>
 Participate in solution demos, PoCs, and design validations.
 </li>
 <li>
 Business &amp; Strategic Alignment
 </li>
 <li>
 Translate customer business goals into measurable data and AI outcomes.
 </li>
 <li>
 Identify opportunities for:
 </li>
 <ul>
 <li>
 Data modernization
 </li>
 <li>
 AI adoption and innovation
 </li>
 <li>
 Upsell/cross-sell within existing accounts
 </li>
 </ul>
 <li>
 Balance technical excellence with commercial viability.
 </li>
 <li>
 Collaboration &amp; Delivery Alignment
 </li>
 <li>
 Work closely with sales, delivery, and engineering teams for seamless transition from presales to execution.
 </li>
 <li>
 Provide architectural oversight during initial delivery phases where needed.
 </li>
 <li>
 Mentor junior architects and engineers on Data &amp; AI, and application architecture
 
 </li>
 </ul>
 
 Required Skills &amp; Expertise
 
 
 
 
 Technical &ndash; Data &amp; AI
 
 
 
 <ul>
 <li>
 Strong expertise in Azure Data &amp; AI ecosystem, including:
 </li>
 <ul>
 <li>
 Azure Data Factory / Synapse / Microsoft Fabric
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure Machine Learning &amp; AI Services (incl. OpenAI)
 </li>
 </ul>
 <li>
 Deep understanding of:
 </li>
 <ul>
 <li>
 Data architecture patterns (Lakehouse, data mesh, etc.)
 </li>
 <li>
 Data governance, security, and compliance
 </li>
 <li>
 AI/ML lifecycle and MLOps
 </li>
 </ul>
 <li>
 Experience in Azure-native and hybrid architectures.
 
 </li>
 </ul>
 
 Technical &ndash; Application &amp; Integration
 
 
 
 <ul>
 <li>
 Strong experience in application architecture, including:
 </li>
 <ul>
 <li>
 Microservices and distributed systems architecture
 </li>
 <li>
 API design and management (REST, GraphQL, API gateways)
 </li>
 <li>
 Event-driven architectures (Kafka, messaging systems)
 </li>
 </ul>
 <li>
 Experience with application modernization:
 </li>
 <ul>
 <li>
 Monolith to microservices transformation
 </li>
 <li>
 Containerization and orchestration (Docker, Kubernetes)
 </li>
 </ul>
 <li>
 Familiarity with integration patterns:
 </li>
 <ul>
 <li>
 Data + application integration (ETL + APIs)
 </li>
 <li>
 Middleware and enterprise integration platforms
 </li>
 </ul>
 <li>
 Understanding of frontend/backend separation and digital application stacks
 
 </li>
 </ul>
 
 Professional
 
 
 
 <ul>
 <li>
 Proven track record of independently handling pre-sales engagements and closing complex deals.
 </li>
 <li>
 Strong ability to articulate business value, not just technical solutions.
 </li>
 <li>
 Experience working with Middle East clients is highly preferred.
 
 
 </li>
 </ul>
 
 Language
 
 
 
 <ul>
 <li>
 Fluency in Arabic (spoken and written) &ndash; mandatory
 </li>
 <li>
 Strong English communication skills
 
 
 </li>
 </ul>
 
 Experience &amp; Qualifications
 
 
 
 <ul>
 <li>
 8+ years of experience in technology consulting / architecture
 </li>
 <li>
 4+ years in Data &amp; AI solutions architecture
 </li>
 <li>
 Strong pre-sales or consulting background with customer-facing roles
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or related field
 
 
 </li>
 </ul>
 
 Certifications (preferred But Not Required)
 
 
 
 <ul>
 <li>
 Microsoft Certified: Azure Solutions Architect Expert
 </li>
 <li>
 Microsoft Certified: Azure Data Engineer Associate
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 <li>
 Microsoft Certified: Designing Azure Solutions
 
 
 </li>
 </ul>
 
 Key Traits for Success
 
 
 
 <ul>
 <li>
 Self-starter with the ability to operate independently in high-stakes environments
 </li>
 <li>
 Strong storytelling and executive communication skills
 </li>
 <li>
 Commercially aware with a solution-selling mindset
 </li>
 <li>
 Passion for Data, AI, and emerging technologies
 
 
 
 
 </li>
 </ul>
 Location: Riyadh - NQKSA, Riyadh, Riyadh, Saudi Arabia
</div>

Senior Solutions Architect - Data & AI

SiFi

<div>
 
 
 About Us
 
 
 
 
 We are building the next-generation Office of the CFO that simplifies finance for all businesses.
 
 
 
 SiFi is a corporate expense management platform designed to empower accounting teams with seamless control over corporate spending. Our platform allows companies to issue cards with specific spending restrictions, ensuring funds are used efficiently and only for approved expenses.
 
 
 
 As we scale, trusted data becomes core infrastructure powering financial correctness, operational visibility, and AI-powered automation.
 
 
 
 
 About the Role
 
 
 
 
 We are looking for a Senior Data Engineer to help define and scale the foundation of SiFi&rsquo;s data platform.
 
 
 
 You will be part of the Data &amp; AI team and serve as a key partner to Finance, Product, Engineering, Operations, and Compliance. Your primary responsibility will be to design and own our data platform, modeling standards, and AI-ready infrastructure, ensuring that metrics are accurate, scalable, and trusted across the organization.
 
 
 
 This is a high-ownership role focused on building financial data infrastructure from first principles.
 
 
 
 This role is based in Saudi Arabia (Relocation).
 
 
 
 
 
 
 
 What You Will Own
 
 
 
 
 
 Data Modeling and Standards
 
 
 
 <ul>
 <li>
 Define and maintain scalable data models in SQL
 
 </li>
 <li>
 Establish structured warehouse layers and modeling best practices
 
 </li>
 <li>
 Own KPI definitions and ensure a single source of truth
 
 </li>
 <li>
 Ensure financial correctness and metric consistency
 
 </li>
 </ul>
 
 
 Warehouse Architecture
 
 
 
 <ul>
 <li>
 Design and evolve our cloud data warehouse in BigQuery
 
 </li>
 <li>
 Own transformation workflows using dbt, SQLMesh, or similar tools
 
 </li>
 <li>
 Optimize performance, reliability, and cost
 
 </li>
 <li>
 Design and support production-grade AI/ML pipelines ensuring model performance, data integrity, and compliance.
 
 </li>
 </ul>
 
 
 Reliability and Governance
 
 
 
 <ul>
 <li>
 Ensure data quality, integrity, and observability
 
 </li>
 <li>
 Implement access controls aligned with compliance requirements
 
 </li>
 <li>
 Build a scalable foundation ready for advanced analytics and AI
 
 </li>
 </ul>
 
 
 Cross-Functional Impact
 
 
 
 <ul>
 <li>
 Translate business requirements into robust data systems
 
 </li>
 <li>
 Enable trusted reporting and BI across teams
 
 </li>
 <li>
 Support experimentation and AI-driven initiatives with well-structured datasets
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 
 What We Are Looking For
 
 
 <ul>
 <li>
 5+ years of experience in Data Engineering or Analytics Engineering
 
 </li>
 <li>
 Strong SQL expertise with hands-on data modeling experience
 
 </li>
 <li>
 Experience with cloud data warehouses such as BigQuery
 
 </li>
 <li>
 Experience with modern transformation frameworks such as dbt or SQLMesh
 
 </li>
 <li>
 Experience building or supporting production-grade AI/ML pipelines is a strong plus
 
 </li>
 <li>
 Ability to operate independently in a fast-moving startup
 
 </li>
 <li>
 Operates with high agency, taking end-to-end ownership of complex problems and delivering outcomes
 </li>
 </ul>
</div>

Senior Data Engineer (Data & AI)

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

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 As a Senior Software Engineer with McKinsey Tech &amp; AI, you will work with clients across a wide range of sectors and industries, advising them on how to best leverage technology.
 
 
 You will drive architectural design, make key technology decisions, and employ agile methodologies to build and deliver the next generation of products for our clients at scale.
 
 
 You will also lead project workstreams, helping clients build their technical capabilities and foster a culture centered around engineering best practices, user-centricity, and Agile values.
 
 
 As a core member of the team, you will take on responsibilities that include driving architectural design and making strategic technology decisions to shape next-generation products for various internal teams, ensuring that we remain at the forefront of technological innovation.
 
 
 Additionally, you will be hands-on and co-creating solutions alongside our clients and their leadership, enabling you to grow into a recognized technology leader.
 
 
 You will be part of the McKinsey Digital team in Riyadh, Saudi Arabia. This group brings together the best of McKinsey&rsquo;s digital capabilities to help our clients use digital technology to transform their businesses.
 
 
 McKinsey Digital is our tech delivery people unit. A global team of software, data and cloud engineers, passionate designers, technology architects, product owners, and leading technologists.
 
 
 You will join a multidisciplinary community of developers, Agile coaches, designers, business strategists and experts. Together, we will design and create industry shaping products and tools for our clients.
 
 
 While we advocate for using the right tech for the right task, we often leverage the following technologies: JavaScript, TypeScript, React.js, Angular.js, Next.js, Vue.js, Python, Java, C#, NodeJS, SQL, MongoDB, AWS, Azure, GCP, and more!
 
 
 Our office culture is casual and social, with an emphasis on education and innovation. You will have the freedom to try new ideas and experiment in your role and will be guaranteed significant dedicated time to tinker, create, continuously learn and share cool new stuff. We also have a strong emphasis in our teams on mentoring others enabling them to grow and learn.
 
 
 Changing the world requires us to sit with our clients at times, so some travel is expected in this role.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate or master&rsquo;s degree; or equivalent experience
 </li>
 <li>
 7+ years of experience in software development, with significant full-stack web application development experience strongly preferred
 </li>
 <li>
 Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis
 </li>
 <li>
 Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities
 </li>
 <li>
 Experience working collaboratively with technical and non-technical team members and stakeholders including modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness
 </li>
 </ul>
</div>

Senior Software Engineer - QuantumBlack, AI by McKinsey

Qualcomm

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 General Summary
 
 
 
 About Us
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
 
 .
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 About The Role
 
 
 
 We are seeking an Inference Accuracy senior engineer to design, develop, and validate model accuracy of deep learning models deployed at scale. The role focuses on deep accuracy analysis, debugging, accuracy evaluation, and recovery during inference on large data-center hardware platforms. This position requires strong problem-solving ability, excellent Python programming skills, and hands-on expertise with inference pipelines.
 
 
 
 Key Responsibilities Include
 
 
 
 <ul>
 <li>
 Define and implement accuracy KPIs across precision modes
 </li>
 <li>
 Develop scalable Python-based accuracy evaluation tools and automated pipelines.
 </li>
 <li>
 Implement accuracy-preserving optimizations for inference frameworks (TensorRT, ONNX Runtime, AITemplate, Triton).
 </li>
 <li>
 Build and maintain automated pipelines for accuracy evaluation across multiple frameworks (ONNX, TensorFlow, PyTorch).
 </li>
 <li>
 Develop reusable plugins for preprocessing, post-processing, and metric evaluation.
 </li>
 <li>
 Execute comprehensive accuracy tests for large-scale models (LLMs, vision, diffusion).
 </li>
 <li>
 Validate accuracy under various quantization and precision settings (FP32, FP16, INT8).
 </li>
 <li>
 Perform accuracy analysis with deep understanding of model architecture, including layers, attention mechanisms, and parameter configurations.
 </li>
 <li>
 Identify architecture-driven accuracy degradation trends and propose optimization strategies.
 </li>
 <li>
 Identify issues related to preprocessing drift, tokenization mismatches, operator fallback, and quantization effects.
 </li>
 <li>
 Analyze accuracy differences across hardware targets, firmware versions, and runtime backends.
 </li>
 <li>
 Perform slice-based accuracy analysis (batch size, concurrency, sequence length, domain shifts).
 </li>
 <li>
 Design and run experiments to recover accuracy, including fine-tuning, calibration, and hyperparameter adjustments.
 </li>
 <li>
 Debug accuracy failures by tracing root causes across data preprocessing, model layers, quantization steps, and deployment pipelines.
 </li>
 <li>
 Compare results across different hardware/software stacks and generate actionable insights.
 </li>
 <li>
 Document workflows, maintain dashboards, and publish accuracy results for stakeholders.
 
 
 
 </li>
 </ul>
 
 Required Skillset
 
 
 
 <ul>
 <li>
 Strong background in AI/ML model evaluation and accuracy metrics.
 </li>
 <li>
 Solid understanding of model architectures (transformers, CNNs, RNNs, MoE) and their impact on accuracy.
 </li>
 <li>
 Experience with large language models (LLMs) and generative AI accuracy validation.
 </li>
 <li>
 Expertise with inference runtimes (TensorRT, ONNX Runtime, Triton).
 </li>
 <li>
 Understanding of quantization (INT8/FP8/INT4), calibration, QAT, and accuracy trade-offs.
 </li>
 <li>
 Experience with model graph conversion (PyTorch &rarr; ONNX &rarr; backend engines).
 </li>
 <li>
 Hands-on experience with accuracy pipeline development and automation frameworks.
 </li>
 <li>
 Proficiency in Python and familiarity with ML toolkits (ONNX Runtime, TensorFlow, PyTorch).
 </li>
 <li>
 Expertise in accuracy analysis, including statistical methods and visualization tools
 </li>
 <li>
 Ability to design experiments for accuracy recovery and debug accuracy failures effectively.
 </li>
 <li>
 Knowledge of quantization techniques and mixed-precision workflows.
 </li>
 <li>
 Strong problem-solving and analytical skills with the ability to isolate complex accuracy issues.
 
 
 
 </li>
 </ul>
 
 Preferred Skillset
 
 
 
 <ul>
 <li>
 Understanding of video generation model accuracy and multi-modal evaluation benchmarking
 </li>
 <li>
 Experience with data-center accelerators (NVIDIA A100/H100/B200, AI100 Ultra, Gaudi, TPU).
 </li>
 <li>
 Knowledge of LLM accuracy evaluation tools (lm-eval, HELM, synthetic benchmarks) is an advantage
 </li>
 <li>
 Familiarity with distributed deployment systems (Kubernetes, cloud inference services).
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's / Masters degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
 </li>
 <li>
 4-10 years of Software Engineering or related work experience.
 </li>
 <li>
 4-10 years of experience with Programming Language such as C,C++, Python.
 
 
 
 </li>
 </ul>
 
 What's On Offer
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 <ul>
 <li>
 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Model Accuracy Development and Test Engineer, Senior (Datacentre AI Engineering) - Riyadh, KSA

McKinsey & Company

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 In the role of a Capabilities &amp; Insights Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data-driven solutions and innovative approaches.
 
 
 You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.
 
 
 As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low-code/no-code tools and Python and visualization tools.
 
 
 In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm&rsquo;s proprietary innovation portfolio.
 
 
 We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology
 </li>
 <li>
 3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)
 </li>
 <li>
 Solid understanding and application of Programming in Python and/or R
 </li>
 <li>
 Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)
 </li>
 <li>
 Familiarity with SQL and data querying from relational databases or cloud-based environments
 </li>
 <li>
 Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
 </li>
 <li>
 Excellent problem-solving skills, particularly in analytical and quantitative areas
 </li>
 <li>
 Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently
 </li>
 <li>
 Willingness and ability to travel to client and McKinsey locations within and outside the country
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Excellent written and verbal communication skills in Arabic and English
 </li>
 </ul>
</div>

Capabilities & Insights Analytics Analyst - Healthcare

Explore 314+ Senior data scientist in Riyadh this July. Find roles across top companies and apply now to boost your career.