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ai engineer

ml engineer

Foodics

<div>Who Are We&#10067; 
We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
The Job in a Nutshell
You will lead the design, development, and deployment of ML/AI/GenAI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You&rsquo;ll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
What Will You Do&#10067;<ul><li><ul>
<li>Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring.</li>
<li>Design and develop scalable solutions using classical ML and GenAI techniques.</li>
<li>Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models.</li>
<li>Collaborate with squads and platform teams to ensure reusability and adherence to standards.</li>
<li>Mentor junior ML engineers and contribute to the internal ML knowledge base.</li>
<li>Integrate models with APIs and backend services as needed.</li>
<li>Embrace and enforce a &quot;you build it, you run it&quot; approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement.</li>
</ul></li></ul>What Are We Looking For&#10067;<ul><li><ul>
<li>5+ years&rsquo; experience in applied ML, AI, or data science.</li>
<li>Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers).</li>
<li>Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability.</li>
<li>Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing.</li>
<li>Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences.</li>
<li>Proven track record of deploying ML models in production at scale.</li>
<li>Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness.</li>
<li>Strong understanding of data pipelines, experimentation, and model evaluation.</li>
<li>Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK).</li>
<li>Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex.</li>
</ul></li></ul>What We Offer You&#10071; 
We believe you will love working at Foodics!<ul>
<li>We have an inclusive and diverse culture that encourages innovation.</li>
<li>We offer highly competitive compensation packages, including bonuses and 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 14 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></ul></div>

Senior Data Scientist / Senior ML Engineer

<div>
 
 Who Are We❓
 
 
 
 We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
 
 
 
 The Job in a Nutshell💡
 
 
 
 You will lead the design, development, and deployment of ML/AI/GenAI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You'll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
 
 
 
 What Will You Do❓
 
 
 
 <ul>
 <li>
 Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring
 </li>
 <li>
 Design and develop scalable solutions using classical ML and GenAI techniques
 </li>
 <li>
 Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models
 </li>
 <li>
 Collaborate with squads and platform teams to ensure reusability and adherence to standards
 </li>
 <li>
 Mentor junior ML engineers and contribute to the internal ML knowledge base
 </li>
 <li>
 Integrate models with APIs and backend services as needed
 </li>
 <li>
 Embrace and enforce a "you build it, you run it" approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement
 
 
 </li>
 </ul>
 
 What Are We Looking For❓
 
 
 
 <ul>
 <li>
 5+ years' experience in applied ML, AI, or data science
 </li>
 <li>
 Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers)
 </li>
 <li>
 Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability
 </li>
 <li>
 Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing
 </li>
 <li>
 Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences
 </li>
 <li>
 Proven track record of deploying ML models in production at scale
 </li>
 <li>
 Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness
 </li>
 <li>
 Strong understanding of data pipelines, experimentation, and model evaluation
 </li>
 <li>
 Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK)
 </li>
 <li>
 Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex
 
 
 </li>
 </ul>
 
 What We Offer You❗
 
 
 
 We believe you will love working at Foodics!
 
 
 <ul>
 <li>
 We have an inclusive and diverse culture that encourages innovation
 </li>
 <li>
 We offer highly competitive compensation packages, including bonuses and 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 14 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>
 </ul>
</div>

COGNNA

<div>At COGNNA, we are on a mission to transform cybersecurity with intelligent, AI-driven solutions. We&rsquo;re looking for a Senior AI Engineer who thrives in fast-paced startup environments and is excited to build cutting-edge systems from the ground up. This role is ideal for someone who is as comfortable architecting large-scale ML pipelines as they are coding data transformations, who enjoys solving hard problems hands-on, and who wants to make a meaningful impact on the future of cybersecurity.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>AI/ML Engineering
</li><li><ul><li>Design, develop, and deploy machine learning models for threat detection, behavioral analytics, and automation.
</li><li>Implement rigorous testing, monitoring, and continuous improvement pipelines to ensure reliable model performance in production.
</li><li>Stay on top of the latest advancements in AI/ML, evaluating and adopting relevant technologies to keep our platform ahead of the curve.
</li></ul></li><li>Data Engineering
</li><li><ul><li>Build and optimize data pipelines that handle large volumes of diverse security telemetry.
</li><li>Ensure data quality, scalability, and availability for ML workflows across the COGNNA ecosystem.
</li><li>Partner with platform engineers to integrate AI and data services seamlessly into production systems.
</li></ul></li><li>Leadership &amp; Collaboration
</li><li><ul><li>Lead projects end-to-end, from conception to production deployment.
</li><li>Collaborate with cross-functional teams (security engineers, product managers, platform engineers) to deliver AI-powered solutions that meet real customer needs.
</li><li>Communicate technical concepts and trade-offs clearly to both technical and non-technical stakeholders.
</li></ul></li></ul><h3 class="jobSectionHeader">What We&rsquo;re Looking For</h3><ul>
<li>Strong expertise in machine learning engineering (model development, deployment, monitoring).
</li><li>Solid foundation in data engineering (ETL/ELT pipelines, distributed systems, data storage/streaming).
</li><li>Hands-on experience with cloud platforms, MLOps tools, and modern data stacks.
</li><li>A &ldquo;startup mindset&rdquo;: you&rsquo;re resourceful, comfortable wearing multiple hats, and willing to get into the details.
</li><li>Passion for tackling complex cybersecurity challenges with AI.
</li></ul><h3 class="jobSectionHeader">Why Join Us?</h3>
At COGNNA, you&rsquo;ll be part of a small, innovative team where your work directly shapes the product and the company&rsquo;s future. You&rsquo;ll have the freedom (and responsibility) to design, build, and ship impactful AI solutions that help security teams defend against evolving threats.
If you want to push the boundaries of AI in cybersecurity, thrive in a collaborative and fast-moving environment, and enjoy the grind of building something that matters, then we&rsquo;d love to hear from you!
Take the next step in your AI engineering career and apply today!
Requirements<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li>
<li>5+ years of experience in AI/ML development and implementation, with a focus on cybersecurity applications.</li>
<li>Expertise in programming languages such as Python, Java, or R.</li>
<li>Extensive experience with machine learning frameworks like TensorFlow, PyTorch, and Scikit-Learn.</li>
<li>Solid understanding of deep learning architectures, reinforcement learning, and natural language processing.</li>
<li>Proven experience with data wrangling, feature selection, and model evaluation techniques.</li>
<li>Familiarity with cloud-based AI services (AWS, GCP, Azure) for scalable deployment of AI models.</li>
<li>Exceptional problem-solving and analytical skills with a passion for innovation.</li>
<li>Strong communication and collaboration skills, comfortable interfacing with technical and non-technical stakeholders. 
 
What We Value
</li><li><ul><li>A commitment to continuous learning and curiosity about emerging AI technologies.</li>
<li>A team-oriented mindset with a drive to mentor and grow fellow team members.</li>
<li>A result-oriented approach to solving real-world problems through technology.</li>
</ul></li></ul>Benefits
 Competitive Package &ndash; Salary + equity options + performance incentives 
 Flexible &amp; Remote &ndash; Work from anywhere with an outcomes-first culture 
 Team of Experts &ndash; Work with designers, engineers, and security pros solving real-world problems 
 Growth-Focused &ndash; Your ideas ship, your voice counts, your growth matters 
 Global Impact &ndash; Build products that protect critical systems and data</div>

Senior AI Engineer - Remote

CodeNinja

Job Summary: 
We are looking for an AI Software Engineer to design, build, and deploy cutting-edge AI/ML solutions for financial services. This role involves working on fraud detection, risk assessment, robo-advisory, LLM-based applications, and cloud-native AI systems. The ideal candidate will have 5+ years of software development experience and at least 2+ years in AI/ML production environments, with expertise across ML frameworks, cloud infrastructure, and full-stack engineering. You will collaborate with product, data science, and compliance teams to deliver innovative, scalable, and compliant AI solutions.
 
Key Responsibilities: 
<ul>
<li>Design, develop, and deploy AI/ML models for financial applications (fraud detection, risk assessment, robo-advisory, etc.).</li>
<li>Build and optimize end-to-end ML pipelines (data ingestion → preprocessing → deployment → monitoring).</li>
<li>Implement LLM-based solutions using OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex.</li>
<li>Develop and maintain cloud-native architectures (AWS, GCP, Azure).</li>
<li>Apply MLOps best practices: CI/CD for ML, automated testing, observability.</li>
<li>Collaborate with product managers, data scientists, and compliance teams.</li>
<li>Drive rapid prototyping through POCs and MVPs.</li>
<li>Ensure compliance with cybersecurity and regulatory standards (explainable AI, bias detection, SAMA).</li>
<li>Contribute to open-source projects and stay updated with AI/ML advancements.</li>
</ul>
Requirements: 
Essential Qualifications: 
<ul>
<li>5+ years of professional software development experience.</li>
<li>2+ years of hands-on experience in AI/ML production environments.</li>
<li>Expertise in AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).</li>
<li>Proficiency with LLM frameworks (OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex).</li>
<li>Experience in prompt engineering, fine-tuning, and RAG architectures.</li>
<li>Strong knowledge of MLOps pipelines, CI/CD practices, and model deployment.</li>
<li>Advanced proficiency with cloud platforms (AWS, GCP, or Azure).</li>
<li>Familiarity with Infrastructure as Code (Terraform, CloudFormation, Pulumi).</li>
<li>Solid experience with backend & frontend development (Node.js, FastAPI, Django, React, Next.js, etc.).</li>
<li>Knowledge of databases, APIs, container orchestration (Kubernetes, Docker), and DevOps tools.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Experience in AI solutions for financial services.</li>
<li>Knowledge of edge AI and device-level inference optimization.</li>
<li>Background in quantitative finance or algorithmic trading.</li>
<li>Familiarity with blockchain / distributed ledger technologies.</li>
<li>Publications, research contributions, or conference presentations in AI/ML.</li>
<li>Proficiency in Arabic NLP and language models (technical skill, not necessarily spoken fluency).</li>
<li>Previous startup or venture studio experience.</li>
<li>Domain expertise in computer vision, NLP, time-series forecasting, or recommender systems.</li>
</ul>
Critical Competencies: 
<ul>
<li>Builder Mentality: Focused on delivering working AI systems, not just designs.</li>
<li>Problem-Solving: Ability to tackle complex, ambiguous challenges with speed.</li>
<li>Technical Leadership: Influences design and architecture decisions.</li>
<li>Innovation Drive: Passion for applying cutting-edge AI in real-world fintech use cases.</li>
<li>Rapid Prototyping: Skilled at building POCs and MVPs to validate ideas.</li>
<li>Collaboration: Strong communicator, effective with cross-functional teams.</li>
<li>Learning Agility: Continuously stays ahead of AI/ML advancements.</li>
<li>Pragmatic Approach: Balances technical excellence with business priorities and time-to-market.</li>
</ul>

Applied AI Engineer - Financial Services

TAWANTECH

<div><h3 class="jobSectionHeader">Job Overview:</h3>
We are seeking an experienced AI Engineer to design and implement advanced AI and machine learning solutions that enhance banking operations, customer experience, risk analysis, and process automation. The ideal candidate will have a strong background in applied machine learning, data science, and AI systems architecture.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Design, develop, and deploy machine learning and AI models tailored to banking and financial services use cases (e.g., fraud detection, credit scoring, customer insights).
</li><li>Perform data preprocessing, feature engineering, and exploratory data analysis.
</li><li>Work with structured and unstructured data from various sources.
</li><li>Collaborate with business units and data engineering teams to define model requirements and deployment strategies.
</li><li>Continuously evaluate and improve AI models based on performance metrics.
</li><li>Ensure compliance with data privacy, security, and regulatory standards.
</li><li>Document processes, experiments, and model outcomes clearly for technical and non-technical stakeholders.</li>
</ul>Requirements<h3 class="jobSectionHeader">
Required Qualifications:</h3><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
</li><li>5&ndash;7 years of experience in AI/ML development and deployment.
</li><li>Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras.
</li><li>Experience with NLP, Computer Vision, or Predictive Analytics in real-world projects.
</li><li>Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
</li><li>Strong understanding of data pipelines, model lifecycle management, and model versioning.
</li><li>Experience working with cloud platforms such as AWS, Azure, or GCP.</li></ul></div>

Artificial Intelligence (AI) Engineer

Job Summary: 
We are seeking an Applied AI Agents Engineer with a strong software engineering background to design, implement, and deploy intelligent agent-based systems powered by large language models (LLMs), retrieval-augmented generation (RAG), and orchestration frameworks like LangChain.
 The ideal candidate will have 3–5+ years of software engineering experience and at least 1–2 years working in AI/ML or intelligent systems. You will play a key role in building multi-agent workflows, integrating agents into enterprise environments, and deploying them reliably in production.
 Experience with orchestration platforms (e.g., aiXplain) and prompt engineering will be highly valuable.
 
Key Responsibilities: 
<ul>
<li>Agent Development & Architecture – Design and implement AI agents using LangChain, including reasoning, memory, RAG pipelines, and tool integrations.</li>
<li>Integration & APIs – Build connectors for databases, APIs, and enterprise systems to extend agent capabilities.</li>
<li>Scalability & Deployment – Deploy agents to cloud environments, ensuring reliability, security, and performance optimization.</li>
<li>Optimization & Monitoring – Fine-tune prompts, optimize retrieval workflows, and monitor system performance.</li>
<li>Collaboration & Documentation – Work closely with AI specialists, data engineers, and domain experts to align solutions with business needs.</li>
</ul>
Requirements: 
Required Skills & Experience: 
<ul>
<li>Strong foundation in software engineering (data structures, algorithms, distributed systems, OOP).</li>
<li>Proficiency in Python with solid experience in LangChain (agents, chains, RAG pipelines, tool integrations).</li>
<li>Good understanding of LLMs, embeddings, and vector databases.</li>
<li>3–5+ years of professional software engineering experience.</li>
<li>1–2+ years working in AI/ML or intelligent systems.</li>
</ul>
Nice-to-Haves (Plus): 
<ul>
<li>Hands-on experience with aiXplain for agent deployment, orchestration, and monitoring.</li>
<li>Familiarity with prompt engineering and evaluation frameworks.</li>
<li>Experience building and scaling multi-agent collaboration systems.</li>
</ul>

Applied AI Agents Engineer

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Riyadh Saudi Arabia; Dubai - United Arab Emirates; Kuwait City, Kuwait; Doha, Qatar.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience with Machine Learning model development and deployment.</li>
<li>Experience with frameworks for deep learning (e.g., PyTorch, TensorFlow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.</li>
<li>Experience engaging with, and presenting to, technical stakeholders and executive leaders.</li>
<li>Ability to communicate in Arabic fluently to support client relationship management in this region.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.</li>
<li>Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).</li>
<li>Experience in architecting and developing software or infrastructure for scalable, distributed systems.</li>
<li>Experience in data and information management as it relates to big data trends and issues within businesses.</li>
<li>Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You'll partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply your impact and the impact of the team as a whole. 
 
You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure.</li>
<li>Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and benchmarking.</li>
<li>Build repeatable assets to enable other customers and internal teams.</li>
<li>Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.</li>
<li>Be responsible for business and workload acceleration on AI Infrastructure products and solutions for Google Cloud Platform (GCP).</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Customer Engineer, AI/ML, Google Cloud (Arabic)

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324 ml engineer jobs IN Riyadh

Senior Data Scientist / Senior ML Engineer

Senior Data Scientist / Senior ML Engineer

Senior AI Engineer - Remote

Applied AI Engineer - Financial Services

Artificial Intelligence (AI) Engineer

Applied AI Agents Engineer

Customer Engineer, AI/ML, Google Cloud (Arabic)