document controller

contract manager

cost engineer

art director

design manager

director design governance cdu 015

HALA

<div>
 <p>
  <strong>
   Who Are We
  </strong>
 </p>
 <p>
  <br/>
  HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools.
 </p>
 <p>
  <br/>
  HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations.
 </p>
 <p>
  <br/>
  Founded in 2017, HALA is currently licensed by the Saudi Arabian Central Bank.
 </p>
 <p>
  &nbsp;
 </p>
 Job Summary
 <p>
  The Software/AI Engineer , Compliance Technology is responsible for designing, developing, and maintaining technology, automation, and AI-enabled solutions that enhance the effectiveness, efficiency, and governance of Compliance operations. The role translates regulatory and business requirements into scalable technical solutions and supports areas including AML, KYC, fraud prevention, regulatory reporting, risk, and governance. The position also contributes to the responsible adoption of AI through appropriate governance, risk assessment, monitoring, and human oversight.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 Responsibilities&nbsp;
 <ul>
  <li>
   Design and develop technology solutions that automate and enhance Compliance processes.
  </li>
  <li>
   Build AI-powered tools to improve compliance monitoring, investigations, and regulatory reporting.
  </li>
  <li>
   Develop and maintain integrations, APIs, and internal applications supporting Compliance systems.
  </li>
  <li>
   Identify automation opportunities and translate compliance requirements into technical solutions.
  </li>
  <li>
   Implement AI, workflow automation, and RegTech solutions to improve operational efficiency.
  </li>
  <li>
   Develop dashboards and analytics that support compliance decision-making and regulatory reporting.
  </li>
  <li>
   Ensure solutions comply with cybersecurity, data privacy, and regulatory requirements.
  </li>
  <li>
   Collaborate with Compliance, Technology, Risk, and Information Security teams on system enhancements.
  </li>
  <li>
   Maintain and optimize compliance applications, ensuring reliability, performance, and scalability.
  </li>
  <li>
   Support audits and regulatory examinations by providing technical documentation and system evidence.
  </li>
  <li>
   Research and recommend emerging AI and compliance technologies to drive continuous improvement.
  </li>
  <li>
   Establish and maintain AI governance controls for Compliance use cases, ensuring responsible, transparent, and compliant use of AI technologies.
  </li>
  <li>
   Conduct AI risk assessments to identify and mitigate risks related to model accuracy, bias, data privacy, security, and regulatory compliance.
  </li>
  <li>
   Monitor and validate AI models and automated solutions on an ongoing basis to ensure accuracy, effectiveness, reliability, and appropriate human oversight.
  </li>
  <li>
   Ensure data quality and governance across Compliance systems and AI solutions, including data accuracy, integrity, access controls, and auditability.
  </li>
  <li>
   Leverage AI and automation to support regulatory change management, including identifying regulatory updates, assessing their impact, and supporting implementation and tracking of required actions.
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  What We Offer You
  <br/>
 </strong>
 <strong>
  We believe you will love working at HALA!
 </strong>
 <ul>
  <li>
   We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups.
  </li>
  <li>
   We offer highly competitive compensation packages, including the potential for shares.
  </li>
  <li>
   We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.
  </li>
  <li>
   Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry.
  </li>
  <li>
   We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.
  </li>
  <li>
   You will be given a lot of responsibility and trust.&nbsp;We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
  </li>
 </ul>
 &nbsp;
 <strong>
  If you think you have what it takes to join a remarkable team #apply_now&nbsp;
 </strong>
 <p>
  &nbsp;
 </p>
</div>


AI & System Engineer

MA'ADEN

<div><p>Why This Role Matters
<br>
The Lead Specialist &ndash; Innovation Portfolio enables Maaden to maximize the value of innovation investments by establishing a structured, transparent, and strategically aligned innovation portfolio. The role ensures that innovation initiatives are prioritized, governed, and managed as a balanced portfolio that supports long-term business growth, operational excellence, and transformation objectives.
<br>
By applying disciplined portfolio management practices, the role improves investment decisions, accelerates the delivery of high-value initiatives, and strengthens the organization's ability to translate innovation opportunities into measurable business outcomes. This includes driving value realization across financial, operational, sustainability, and strategic dimensions.
<br>
The role also provides leadership with data-driven insights, portfolio transparency, and decision support, enabling effective allocation of resources and the development of a sustainable pipeline of innovation opportunities that support Ma&rsquo;aden&rsquo;s future competitiveness.<br>
<br>
</p><p>What You Will Deliver
<br>
Portfolio Strategy &amp; Governance
<br>
Establish and continuously enhance innovation portfolio governance frameworks, prioritization models, and investment criteria.
<br>
Align innovation investments with business strategy, transformation priorities, and long-term value creation objectives.
<br>
Strengthen executive decision-making through effective governance forums and portfolio review mechanisms.
<br>
Innovation Investment &amp; Prioritization
<br>
Optimize innovation investment decisions by evaluating opportunities based on strategic fit, value potential, risk, scalability, and feasibility.
<br>
Develop robust business cases and recommendations that support informed funding and portfolio allocation decisions.
<br>
Maintain a balanced innovation portfolio across short-, medium-, and long-term horizons.
<br>
Portfolio Performance &amp; Value Realization
<br>
Define and implement portfolio performance frameworks and value realization measures.
<br>
Improve portfolio outcomes through continuous monitoring of innovation performance, benefits, and strategic contribution.
<br>
Drive portfolio optimization using performance insights, lessons learned, and measurable business impact.
<br>
Innovation Pipeline Management
<br>
Build and maintain a sustainable pipeline of innovation opportunities and emerging technology initiatives.
<br>
Enhance portfolio resilience through balanced management of initiatives across varying maturity levels and risk profiles.
<br>
Accelerate progression of high-potential concepts through validation, piloting, and portfolio review processes.
<br>
Stakeholder Alignment &amp; Delivery Enablement
<br>
Foster collaboration across Innovation, Technology Operations, Data &amp; AI, and business functions to accelerate innovation delivery.
<br>
Resolve portfolio dependencies, resource constraints, and execution risks that affect portfolio performance.
<br>
Promote alignment among sponsors, initiative owners, and delivery teams to improve execution effectiveness.
<br>
Strategic Insights &amp; Executive Reporting
<br>
Deliver executive-level portfolio reporting that provides visibility into performance, risks, opportunities, and investment effectiveness.
<br>
Generate actionable insights that support strategic planning, budgeting, and innovation roadmap development.
<br>
Influence leadership decisions through evidence-based portfolio recommendations and performance analysis.<br>
<br>
</p><p>What Success Looks Like
<br>
Innovation investments demonstrate clear alignment with strategic business priorities.
<br>
Portfolio governance frameworks enable transparent and effective decision-making.
<br>
Innovation initiatives deliver measurable financial, operational, sustainability, and strategic value.
<br>
A balanced pipeline of innovation opportunities is maintained across multiple maturity levels.
<br>
Leadership receives timely, accurate, and actionable portfolio insights.
<br>
Portfolio resources are optimized to maximize innovation outcomes and business impact.<br>
<br>
</p><p>Minimum Qualifications
<br>
Bachelor&rsquo;s degree in Engineering, Business Administration, Technology, Innovation Management, or a related discipline.<br>
<br>
</p><p>Experience
<br>
10&ndash;12 years of progressive experience in innovation management, strategy execution, technology portfolio management, PMO, or transformation environments.
<br>
Experience managing complex cross-functional initiatives and stakeholder environments.
<br>
Experience supporting strategic investment decisions, portfolio governance, and value realization initiatives.(Derived from role scope and requires validation.)
<br>
Experience within mining, industrial, manufacturing, energy, or other technology-intensive sectors is preferred.<br>
<br>
</p><p></p><p>Skills That Matter
<br>
Functional Expertise
<br>
Innovation Portfolio Management
<br>
Portfolio Governance &amp; Stage-Gate Frameworks
<br>
Strategic Prioritization
<br>
Investment Planning &amp; Business Case Development
<br>
Value Realization Management
<br>
Innovation Pipeline Management
<br>
Business &amp; Delivery<br>
<br>
</p><p>Strategic Planning
<br>
Portfolio Performance Management
<br>
Executive Reporting &amp; Dashboarding
<br>
Budgeting &amp; Investment Analysis
<br>
Risk Assessment &amp; Portfolio Optimization
<br>
Data-Driven Decision-Making<br>
<br>
</p><p>People &amp; Collaboration
<br>
Stakeholder Management
<br>
Cross-Functional Collaboration
<br>
Influencing &amp; Communication
<br>
Facilitation &amp; Alignment
<br>
Analytical Thinking
<br>
Business Acumen</p></div>

Lead Specialist, Innovation Portfolio

Globant

<div><p>At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.<br>
</p><p></p><p>We are looking for an experienced Technical Project Manager to lead the delivery of a technology program for a premier banking institution in the UAE. This role sits at the intersection of technical delivery, agile program governance, and regulatory compliance. It requires someone equally comfortable running sprint ceremonies as they are briefing senior banking stakeholders on risk and delivery status.
</p><p>The successful candidate will manage the end-to-end delivery of software initiatives&mdash;including emerging AI agentic solutions&mdash;within a highly regulated banking environment, ensuring alignment with regulatory standards, PCI DSS compliance, and internal governance frameworks.
</p><p><b>Key Responsibilities
</b></p><ul><li><p>Own end-to-end delivery of technical projects and programs, managing scope, timeline, budget, and quality across multiple concurrent workstreams.
</p></li><li><p>Run and continuously improve Agile ceremonies (sprint planning, backlog refinement, stand-ups, reviews, retrospectives) across cross-functional engineering, product, and QA teams.
</p></li><li><p>Manage program governance by maintaining RAID logs (risks, assumptions, issues, dependencies), tracking cross-team dependencies, and driving timely risk mitigation.
</p></li><li><p>Act as the primary point of coordination between the delivery team and client stakeholders, translating technical progress into clear, business-relevant updates for senior executives.
</p></li><li><p>Oversee delivery of AI agentic and software engineering initiatives, working closely with engineering leads to ensure technical feasibility, architecture decisions, and realistic timelines.
</p></li><li><p>Ensure all delivery activities comply with regional central bank regulatory requirements, PCI DSS standards, and internal information security/audit policies.
</p></li><li><p>Coordinate SIT, UAT, and security/penetration testing phases, ensuring clear ownership between delivery and regulatory sign-off teams.
</p></li><li><p>Prepare and present executive-level reporting (steering committee decks, scope trackers, roadmaps, RAG status reports) tailored to senior banking leadership.
</p></li><li><p>Facilitate change management and governance ceremonies to document and approve scope changes, decisions, and commercial impacts through proper channels.
</p></li><li><p>Proactively identify delivery blockers, ambiguities, and process gaps (e.g., SLA gaps, terminology misalignment) and drive them to resolution before they impact delivery timelines.
</p></li></ul><p><b>Required Skills &amp; Experience
</b></p><ul><li><p>9+ years of project/program management experience, with a strong track record of delivering technology projects within financial services or banking.
</p></li><li><p>Proven hands-on experience managing Agile software development delivery (Scrum/Kanban/SAFe), including sprint governance, backlog management, and release planning.
</p></li><li><p>Exposure to AI agentic systems or generative AI product development (e.g., multi-agent orchestration, agentic workflows, or AI assistant platforms).
</p></li><li><p>Working knowledge of banking regulatory frameworks (including CBUAE standards, PCI DSS, and compliance coordination).
</p></li><li><p>Strong command of Agile governance disciplines: risk management, dependency tracking, RAID logs, and RACI frameworks in multi-vendor or client/delivery-partner environments.
</p></li><li><p>Excellent stakeholder communication skills with the ability to translate complex technical topics for executive audiences.
</p></li><li><p>Experience utilizing tools such as Jira, Linear, Confluence, or equivalent project tracking systems.
</p></li><li><p>Bachelor's degree in Computer Science, Information Technology, Business, or a related field.
</p></li></ul><p><b>Preferred Qualifications
</b></p><ul><li><p>Certifications: PMP, PRINCE2, PMI-ACP, CSM, or SAFe.
</p></li><li><p>Prior experience delivering technology programs directly for or within a UAE/GCC banking institution.
</p></li><li><p>Familiarity with KYC/AML workflows, financial data connectivity, or regulatory auditability requirements for AI systems.
</p></li><li><p>Experience managing multi-vendor delivery models (client + consulting partner) in regulated industries.
</p></li></ul><p>This job can be filled in <b>Dubai/UAE </b>.<br>
</p><p></p><p>Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.
</p><p>We may use AI and machine learning technologies in our recruitment process. Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
</p><p>Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here: Globant Experience Guide .</p></div>

Tech Project Manager

Accenture

<div><div><p><b>About Accenture</b></p></div><p></p><div><p><br>
Accenture helps the world&rsquo;s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.</p><p></p><p><b>
About the role:
</b></p><div><p>You will be responsible for leading major hyperscale and mission-critical Data Centre programmes, acting as a trusted advisor to clients while driving project delivery excellence.</p></div><div><p>
The successful candidate will bring extensive experience from a PMC, construction consultancy, or client-side environment, with a proven track record of managing large, complex Data Centre developments from strategy through execution.</p></div><div><p>
Alongside programme leadership, you will play a key role in client development, market growth, and identifying new business opportunities across the region.</p></div></div><div><ul><li><p>
Lead the delivery of large-scale Data Centre programmes across the region</p></li></ul></div><div><ul><li><p>
Act as the senior client-facing lead and strategic advisor for key accounts.</p></li></ul></div><div><ul><li><p>
Establish and maintain strong executive-level relationships with developers, hyperscalers, investors, and delivery partners.</p></li></ul></div><div><ul><li><p>
Provide leadership across multidisciplinary teams including project management, project controls, commercial management, planning, risk, and reporting functions.</p></li></ul></div><div><ul><li><p>
Oversee programme governance, reporting, risk management, and stakeholder engagement activities.</p></li></ul></div><div><ul><li><p>
Drive programme performance against cost, schedule, quality, and operational readiness objectives.</p></li></ul></div><div><ul><li><p>
Provide strategic guidance during project planning, procurement, design management, and construction phases.</p></li></ul></div><div><ul><li><p>
Lead internal teams and supply chain partners to deliver consistent, high-quality outcomes.</p></li></ul></div><div><ul><li><p>
Support the development and execution of account plans and regional growth strategies.</p></li></ul></div><div><ul><li><p>
Identify and secure new opportunities within existing and prospective client organisations.</p></li></ul></div><div><ul><li><p>
Support bids, proposals, presentations, and business development initiatives.</p></li></ul></div><div><ul><li><p>
Represent Accenture at industry events, conferences, and client engagements throughout the region.</p></li></ul></div><div><ul><li><p>
Mentor and develop future leaders within the business while fostering a culture of excellence and continuous improvement.</p></li></ul></div></div><p></p>
<br>
<div><div><div><ul><li><p>Experience delivering major capital projects.</p></li></ul></div><div><ul><li><p>
Extensive Data Centre experience, ideally delivering hyperscale or mission-critical facilities.</p></li></ul></div><div><ul><li><p>
Strong background within a Project Management Consultancy (PMC), construction consultancy, or client-side delivery organisation.</p></li></ul></div></div><div><div><ul><li><p>
Proven experience leading complex programmes valued in excess of $500m.</p></li></ul></div><div><ul><li><p>
Experience operating at executive stakeholder level with international clients.</p></li></ul></div><div><ul><li><p>
Demonstrable experience in business development, account management, and client growth activities</p></li></ul></div><div><ul><li><p>
Degree qualified in Construction Management, Engineering, Project Management, Quantity Surveying, or a related discipline.</p></li></ul></div><div><ul><li><p>
Professional membership with a recognised institution (APM, RICS, CIOB, PMI, ICE or equivalent) is highly desirable.</p></li></ul></div><div><ul><li><p>
Experience in the Middle East market is desirable.</p></li></ul><p></p><div><p><b>
Why join us?</b></p></div><div><ul><li><p>
We offer a transparent, fast paced career progression, with a focus on your strengths and continuous coaching from senior colleagues</p></li></ul></div><div><ul><li><p>
You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools</p></li></ul></div><div><ul><li><p>
Flexible work arrangements and a range of benefits including competitive rewards</p></li></ul></div><div><ul><li><p>
You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends</p></li></ul></div><div><ul><li><p>
You will also have opportunities to make a difference to the communities in which we work and live</p></li></ul></div></div></div></div>

Programme / Project Director - Data Centres

MASTER-WORKS

<div><p>Master Works is looking for an <b>Agentic AI, Engineer </b>to join our growing team and design, build, and deploy agentic AI systems that can plan, reason, and act. The role covers both single-agent and multi-agent systems, as well as orchestration of workflows involving retrieval-augmented generation (RAG), context engineering, reasoning, tool calling, memory, and inter-agent communication. This role is ideal for a strong software engineer with hands-on AI/ML development experience and a passion for transforming generative AI models into reliable, goal-driven systems capable of solving complex, real-world business problems.</p><p></p>
Key Responsibilities:<p></p><ul><li>
Architect, build, and deploy agentic AI systems that integrate AI agents with foundation models, enterprise systems, third-party tools, and APIs using established agentic frameworks or custom-built orchestrators.</li><li>
Build and maintain retrieval-augmented generation (RAG), memory, and reasoning pipelines that ground agent decisions in reliable, real-world data and enable persistent, contextual, and adaptive behavior.</li><li>
Design single-agent and multi-agent workflows, including planning, delegation, tool selection, handoffs, inter-agent communication, and human-in-the-loop controls.</li><li>
Optimize orchestration and reasoning performance while balancing autonomy, latency, cost, interpretability, reliability, and maintainability.</li><li>
Collaborate with Generative AI engineers, application engineers, MLOps engineers, and product teams to move agentic AI solutions from prototype to production.</li><li>
Monitor, evaluate, and benchmark agent performance, and help ensure AI systems are safe, accurate, trustworthy, observable, and capable of delivering a high-quality user experience.</li><li>
Document agent architectures, communication flows, guardrails, context-engineering strategies, memory design, tool interfaces, and orchestration logic to ensure clarity and reproducibility.</li><li>
Stay current with advances in agentic AI, multi-agent orchestration, RAG, model-context protocols, cognitive architectures, evaluation methods, and AI safety mechanisms.</li><li>
Collaborate with cross-functional teams to design and deliver complete AI solutions for customers.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.</li><li>
2+ years of hands-on experience developing agentic AI systems, LLM-powered applications, or advanced Generative AI solutions.</li><li>
Preferably 5+ years of overall professional software engineering experience</li><li>
Contributions to open-source agentic AI frameworks, orchestration platforms, evaluation tooling, or agent communication protocols.</li><li>
Experience building microservices and deploying AI applications on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>
Experience with AI safety, guardrails, observability, traceability, evaluation, and explainability for agentic AI systems.</li><li>
Experience deploying LLM or agentic workloads in production using containers, Kubernetes, CI/CD pipelines, and modern MLOps or LLMOps practices.</li></ul><p></p><p><b>
Job Location: </b>HQ</p></div>

Agentic AI, Engineer

Qualcomm

<div>
 <strong>
  <strong>
   Company:
   <br/>
   <br/>
  </strong>
 </strong>
 Qualcomm Middle East Information Technology Company LLC
 <br/>
 <br/>
 <strong>
  <strong>
   Job Area:
   <br/>
   <br/>
  </strong>
 </strong>
 Engineering Group, Engineering Group &gt; Systems Engineering
 <br/>
 <br/>
 <strong>
  <strong>
   General Summary:
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  About us
  <br/>
  <br/>
 </strong>
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
 <strong>
  .
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  <strong>
   About The Role
   <br/>
   <br/>
  </strong>
 </strong>
 The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond.
 <br/>
 <br/>
 We are seeking a Senior Staff Machine Learning Engineer to provide hands‑on technical leadership in the design, optimization, and deployment of machine learning frameworks and applications on Qualcomm AI platforms. This is an individual contributor role that operates with broad technical scope, high autonomy, and significant cross‑team impact. The successful candidate will drive complex initiatives end‑to‑end, influence technical direction through expertise and execution, and mentor engineers across the organization while remaining deeply hands‑on.
 <br/>
 <br/>
 Job activities span the full product life cycle, from early research and architecture through commercial deployment and sustained optimization. The role requires frequent cross‑functional collaboration, strong technical judgment, and the ability to independently plan, execute, and influence complex engineering efforts.
 <br/>
 <br/>
 <strong>
  We are looking for candidates with12+ years Systems Engineering or related work experience
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Responsibilities Will Include:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Research, design, develop, enhance, and implement the different components of machine learning frameworks, Graph optimizations for performance and accuracy tailored towards Qualcomm NPUs.
  </li>
  <li>
   Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
  </li>
  <li>
   Analyze and identify system level integration issues, interface with the software development, integration and test teams.
  </li>
  <li>
   Work on latest GenAI techniques and adapt those for NPUs. Architect new techniques which work best on Qualcomm SOCs and architecture.
  </li>
  <li>
   Provide technical leadership and mentorship through design reviews, architectural guidance, and hands‑on collaboration, influencing best practices without direct people‑management responsibility
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Minimum Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   bachelor&rsquo;s degree in engineering, Information Systems, Computer Science, or related field.
  </li>
  <li>
   12+ years Systems Engineering or related work experience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Required Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
  </li>
  <li>
   Has experience in model level optimization using techniques like torch compile.
  </li>
  <li>
   Expertise in model architecture, backed by literature rationale and intuition
  </li>
  <li>
   Understanding of broad-spectrum model architectures across modalities, ML algorithms and techniques
  </li>
  <li>
   Expertise in Model training and inference workflows.
  </li>
  <li>
   Hands-on Experience in C/C++, Python development (5+ years)
  </li>
  <li>
   Hands-on Experience with Object Orientated Design, and software development practices in general
  </li>
  <li>
   Experience with Source Code and Configuration management tools, git knowledge is required
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Preferred Qualifications And Aptitudes
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Willingness to work in a cohesive software development environment with ability to work on low level implementation (code &amp; test) and interfacing with hardware and simulators
  </li>
  <li>
   Experience in neural network architectures + ML compiler workload synthesis, a plus
  </li>
  <li>
   Prior working experience of hardware accelerators and hardware software co-design
  </li>
  <li>
   Experience of profiling software and optimization techniques
  </li>
  <li>
   Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms.
  </li>
  <li>
   A research mindset with expertise in software development
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What's On Offer
   <br/>
   <br/>
  </strong>
 </strong>
 Apart from working with great people, we offer the below:
 <br/>
 <br/>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Minimum Qualifications:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 OR
 <br/>
 <br/>
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
 <br/>
 <br/>
 OR
 <br/>
 <br/>
 PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
 <br/>
 <br/>
 <ul>
  <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.
   <br/>
   <br/>
   <br/>
  </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).
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  To all Staffing and Recruiting Agencies
 </strong>
 : 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.
 <br/>
 <br/>
 If you would like more information about this role, please contact Qualcomm Careers.
</div>


Model Accuracy and AI Performance, Senior Staff Engineer - Riyadh, KSA

<div><div><div><p><b>YOU ARE</b></p></div><div><p>
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &amp; MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.</p></div><div><p><b>
THE WORK</b></p></div><div><ul><li><p>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</p></li></ul></div><div><ul><li><p>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</p></li></ul></div><div><ul><li><p>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</p></li></ul></div><div><ul><li><p>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</p></li></ul></div></div><div><div><ul><li><p>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</p></li></ul></div><div><ul><li><p>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</p></li></ul></div><div><ul><li><p>
Justify the value of model approaches in business problems</p></li></ul></div><div><ul><li><p>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</p></li></ul></div></div></div>
<br>
<div><div><p><b>EDUCATION</b></p></div><div><ul><li><ul><li>Bachelor's Degree or equivalent</li></ul></li></ul></div><div><p><b>
BASIC (REQUIRED) QUALIFICATION</b></p></div><div><ul><li><p>
Proven experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</p></li></ul></div><div><ul><li><p>
Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</p></li></ul></div><div><ul><li><p>
Hands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks</p></li></ul></div><div><ul><li><p>
Experience in building and deploying AI/ML based software to a cloud environment.</p></li></ul></div><div><p><b>
PREFERRED QUALIFICATION</b></p></div><div><ul><li><p>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..</p></li></ul></div><div><ul><li><p>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</p></li></ul></div><div><ul><li><p>
Experience with the following programming languages: Python, C++, Java, R, SQL</p></li></ul></div><div><ul><li><p>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</p></li></ul></div><div><ul><li><p>
Strong client-facing skillsets in a consulting environment</p></li></ul></div><div><ul><li><p>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</p></li></ul></div><div><ul><li><p>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</p></li></ul></div><div><ul><li><p>
MS or PhD in related field preferred (computer science, engineering, etc.)</p></li></ul></div></div>

AI & Machine Learning Consultant

Explore 21+ Director design governance cdu 015 in Saudi Arabia this August. Find roles across top companies and apply now to boost your career.