software engineer

YO IT Consulting

<div>
 
 Job Description
 
 
 
 
 Role Title:
 
 Frontend Software Engineer
 
 
 
 Role Type:
 
 Contract
 
 
 
 Location:
 
 Remote
 
 
 
 Scope Of Work
 
 
 
 <ul>
 <li>
 Create high-quality technical documentation and structured examples based on real-world frontend engineering scenarios.
 </li>
 <li>
 Apply your frontend engineering expertise to evaluate UI implementations, styling decisions, and best practices.
 </li>
 <li>
 Interpret component style guides and screenshots to produce accurate technical outputs and documentation.
 </li>
 <li>
 Interpret and translate component style guides and interface screenshots into precise, visually consistent UI deliverables.
 </li>
 <li>
 Implement pixel-perfect, responsive web components using modern technologies such as Typescript and CSS3.
 </li>
 <li>
 Ensure all UI elements adhere to established design systems and accessibility standards.
 </li>
 <li>
 Collaborate asynchronously through clear documentation and constructive feedback within a remote-first environment.
 </li>
 <li>
 Proactively identify, communicate, and resolve inconsistencies or ambiguities in design specifications.
 </li>
 <li>
 Optimize UI performance across devices, focusing on fast load times and smooth interactions.
 </li>
 <li>
 Contribute domain-specific expertise to guide the training and development of advanced AI models.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Minimum of 3 years of professional experience delivering high-quality front-end solutions.
 </li>
 <li>
 Proven proficiency with Typescript, CSS3, and responsive web design principles.
 </li>
 <li>
 Demonstrated success in building pixel-perfect interfaces from detailed visual references.
 </li>
 <li>
 Experience working with and extending component style guides and design systems.
 </li>
 <li>
 Strong English communication skills
 </li>
 <li>
 Self-motivated and capable of delivering autonomously within distributed project environments.
 </li>
 <li>
 Advanced degree (Master&rsquo;s or PhD) in Computer Science or a related technical discipline is a plus.
 </li>
 </ul>
</div>

Frontend Software Engineer - Remote

autobia | أوتوبيا

<div>
 
 We are looking for a Full-Stack Software Engineer to join the Autobia team. This role works across a Ruby on Rails codebase with a strong backend lean &mdash; most of your time on services, data, and integrations, while comfortably handling the front end when the feature needs it. This is high-volume money movement, processing thousands of BNPL and POS transactions, so correctness, reliability, and scale all matter.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build, ship, and operate Rails backend services and full-stack features.
 </li>
 <li>
 Own your work end to end: design, implementation, testing, deployment, production support.
 </li>
 <li>
 Build and maintain integrations with internal and external services.
 </li>
 <li>
 Write clear, maintainable code and contribute to the squad's technical decisions.&nbsp;
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Mid&ndash;senior full-stack engineer, backend-strong, with solid Ruby on Rails experience.
 </li>
 <li>
 3&ndash;5 years of professional full-stack experience.
 </li>
 <li>
 Strong fundamentals: API design, data modeling, relational databases, testing.
 </li>
 <li>
 Comfortable across the stack &mdash; can build and debug front-end features when needed.
 </li>
 <li>
 Proven with high-traffic, high-throughput systems &mdash; performance under load is part of the job.
 </li>
 <li>
 Ownership mindset: takes a problem from ambiguity to shipped and supported.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 Payments, BNPL, POS, or other money-movement / fintech experience.
 </li>
 <li>
 Experience operating high-reliability, correctness-critical systems.
 </li>
 <li>
 Knowing PostgreSQL is a plus.
 </li>
 <li>
 As a full-stack role, knowing React is a plus.
 </li>
 <li>
 Experience with GKE or AWS is a plus.
 </li>
 </ul>
</div>

Full-Stack Software Engineer — Ruby

Culturly

Software Engineer, AI Voice &amp; Call Center ImplementationWe are looking for an experienced AI Engineer to support the implementation of an AI-powered call center solution.This is initially a three-month project, with the possibility of extension to six months and potentially a longer-term or full-time role based on project requirements and performance.Key Responsibilities<ul><li>Develop and implement AI voice and call center solutions</li><li>Integrate speech-to-text and text-to-speech technologies</li><li>Work with large language models and conversational AI systems</li><li>Integrate AI services with existing enterprise applications</li><li>Collaborate with technical and business teams to deliver the project</li></ul>Requirements<ul><li>Minimum five years of professional software engineering experience</li><li>Hands-on experience with AI voice, speech-to-text, text-to-speech and LLMs</li><li>Strong experience with Java, WebLogic and React</li><li>Experience integrating APIs and enterprise systems</li><li>Ability to work independently and deliver within project timelines</li><li>Available to start immediately</li></ul>Contract: Three months initially, with potential extension Start Date: ImmediatePay: ﷼2,891.85 - ﷼15,427.44 per monthWork Location: In person

Software Engineer / AI Engineer – AI Voice Agents

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 Software Engineer with Tech &amp; AI at McKinsey, 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>
 5+ 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>

Software Engineer 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 Principal Engineer I, you will lead development teams to design and deliver enterprise-grade software solutions while shaping clients' tech strategies and mentoring their teams.
 
 
 Your role offers the opportunity to work across industries, influence C-level decisions, and become a leading expert in cutting-edge technologies. You will work hands-on to architect, design, and deliver enterprise-grade software solutions while mentoring client teams to adopt best practices.
 
 
 Your role will involve leading multiple development teams, defining short- and long-term technology strategies, and partnering with cross-functional teams to solve complex business challenges. You will also establish metrics and KPIs to drive alignment and ensure the success of engineering-powered solutions.
 
 
 Your work will help clients achieve their goals while shaping their technological ecosystems and engineering cultures. By working directly with C-level leaders, you will influence strategic decisions and deliver impact beyond the products you build. You&rsquo;ll also work across a variety of industries and technologies, gaining new insights and expertise with every project.
 
 
 You will lead the design and delivery of innovative technology solutions that transform businesses across industries. Based in one of our global locations, you will be part of a multidisciplinary group of software engineers, Agile coaches, designers, and technologists passionate about creating industry-shaping products and tools.
 
 
 Your role offers unparalleled opportunities for growth and impact. At McKinsey, you&rsquo;ll have access to C-level leaders eager to hear your expertise, the chance to work on diverse projects, and the resources to become a leading expert in your field. Supported by a collaborative and innovative team, you&rsquo;ll make a lasting impact on clients, industries, and the future of technology.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate or master&rsquo;s degree; or equivalent experience
 </li>
 <li>
 8+ years of experience in software development and architecture with a demonstrated track record of successfully understanding the business requirements and designing realistic and effective solutions
 </li>
 <li>
 Active in the tech community (e.g. contributing to open-source projects, speaking at conferences, blogging, etc.) and experience working collaboratively with technical and non-technical team members and stakeholders
 </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 Engineering practice experience such as code refactoring, design patterns, design-driven development, continuous integration, building highly scalable applications, application security
 </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 writing unit tests with major frameworks (e.g., Karma, JUnit, NUnit, MSTest) and practicing test-driven development
 </li>
 <li>
 Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
 </li>
 <li>
 Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
 </li>
 </ul>
</div>

Principal Software Engineer - QuantumBlack, AI by McKinsey

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>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
Qualcomm is seeking Senior and Staff Software Engineers to contribute to the development and operation of rack management software for AI accelerator products deployed in large-scale data centre environments. This role is hands-on and execution-focused, emphasizing high-quality implementation, debugging, testing, and operational support of infrastructure software that runs close to hardware.
You will collaborate closely with lead engineers and architects across multiple sites, participate in design discussions and reviews, and take on design-ownership roles, while focusing primarily on implementing defined designs, investigating complex issues, and ensuring reliable, secure software behaviour in production environments.
In this role, you will work on software responsible for provisioning, monitoring, orchestration, and lifecycle management of rack‑scale AI systems. You will be expected to take strong ownership of the code you deliver &mdash; from implementation and validation through deployment and debugging in real‑world data center conditions.
This position is well‑suited for a senior engineer who thrives in a distributed team model, communicates effectively across sites, and takes pride in deep technical debugging, system understanding, and operational excellence, even when architectural direction is defined elsewhere.
At the Staff level, the engineer is expected to drive implementation of the designs assigned to the local engineering team and provide guidance and mentorship to junior engineers.
Key Responsibilities will include
<ul><li>Implement, test, and maintain software solutions for rack provisioning, monitoring, and workload deployment
</li><li>Interface with rack hardware (BMC, PDU, CDU, PCIe switches) using Redfish, SNMP, and IPMI protocols.
</li><li>Integrate rack management software with orchestration platforms (e.g., Kubernetes, Terraform, Foreman).
</li><li>Collaborate with ODMs, ISVs, and internal teams to define and deliver scalable rack software solutions.
</li><li>Develop dashboards and unified telemetry pipelines using Prometheus and Grafana.
</li><li>Support firmware updates, crash dump parsing, and remote diagnostics across rack components.
</li><li>Ensure secure boot, VLAN separation, and QoS enforcement for multi-tenant environments.
</li><li>Contribute to software EBOM and protocol documentation with Pegatron and other partners.
</li><li>Write high‑quality, secure, and maintainable code following established coding standards and best practices.
</li><li>Participate in design discussions and reviews, providing implementation‑focused feedback on feasibility, performance, reliability, and maintainability.
</li><li>Own debugging and root‑cause analysis of complex issues across development, integration, and production environments, including deployed systems.
</li><li>Collaborate closely with architects, lead engineers, hardware, firmware, and platform teams to ensure correct system behavior and smooth integration.
</li><li>Implement observability features such as logging, metrics, and tracing to support troubleshooting and operational reliability.
</li><li>Contribute towards documentation, runbooks, and operational procedures related to the software you own or support.
</li><li>Participate in code reviews, testing efforts, and continuous improvement of build, test, and deployment pipelines.
</li></ul>Required Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Electrical or Computer engineering, Computer Science, Information Systems, or a related field and 5+ years of software engineering experience
</li><li>Experience in infrastructure software development
</li><li>Proficiency in Python, C++, and shell scripting.
</li><li>Experience with Redfish APIs and DCIM tools.
</li><li>Understanding of server hardware, networking, and storage systems.
</li><li>Strong written and verbal communication skills for working effectively in a multi‑site, globally distributed team.
</li></ul>Preferred Qualifications
<ul><li>Experience with Node.js is a plus.
</li><li>Experience with Rack Management tools.
</li><li>Knowledge of AI workload orchestration tools (e.g., K8s, RKE2).
</li><li>Experience with tools like Prometheus and Grafana.
</li><li>Familiarity with rack-level lifecycle management.
</li><li>Familiarity with Foreman, Ansible, Chef, and Puppet for provisioning and configuration
</li><li>Working knowledge in GoLang is a plus
</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 2+ years of Software Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul>*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.
<div>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).
</div>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>

Rack SW AI Infrastructure Management (AIMS), UI, Orchestration & Lifecycle Management & Networking Engineer - Riyadh, KSA

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: AI / ML Engineer</h1>
Job Title: AI / ML Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh (Onsite) 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking a skilled AI / ML Engineer with 3&ndash;11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Cloud AI Platforms</h3><ul><li>
Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker.</li><li>
Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions.</li><li>
Experience with BigQuery ML and Dataflow for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader">
Programming &amp; Machine Learning</h3><ul><li>
Strong proficiency in Python.</li><li>
Experience developing machine learning solutions using TensorFlow or PyTorch.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader">
Generative AI &amp; LLM Frameworks</h3><ul><li>
Experience with Hugging Face and LangChain for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Analytics</h3><ul><li>
Experience with Databricks for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; Deployment</h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>
3&ndash;11 years of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker</li><li>
Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs)</li><li>
Data Processing: BigQuery ML and Dataflow and Databricks</li><li>
Programming: Python</li><li>
Machine Learning Frameworks: TensorFlow or PyTorch</li><li>
LLM Frameworks: Hugging Face or LangChain</li><li>
MLOps: Docker and Kubernetes and CI/CD (Preferred)</li></ul>
kmeseaCmpf</div>

AI / ML Engineer

Explore 151+ Software engineer in Saudi Arabia this August. Find roles across top companies and apply now to boost your career.