What Jobs are available for AI & Emerging Technologies in Saudi Arabia?

Responsibilities:

• Design, develop, and deploy AI-powered applications, with a focus on NLP, speech recognition, and conversational AI.
• Build and integrate AI chatbots and assistants for WhatsApp (Text-to-Text, Speech-to-Text, Text-to-Speech).
• Implement solutions to handle inbound calls using AI-driven voice systems.
• Integrate all AI services into a unified dashboard for customer support and analytics.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Monitor, optimize, and continuously improve AI model performance.

Requirements:

• Proven experience as an AI Developer, ML Engineer, or Data Scientist.
• Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with NLP, LLMs, and speech technologies (ASR/TTS).
• Knowledge of API integrations (WhatsApp Business API, Twilio, Dialogflow, or Rasa).
• Experience with cloud platforms (AWS, GCP, or Azure).
• Strong problem-solving skills and the ability to work independently and in a team.

Preferred Skills:

• Experience with LangChain, RAG pipelines, or agentic AI frameworks.
• Familiarity with vector databases (Pinecone, Weaviate, or similar).
• Basic knowledge of data visualization and dashboard tools (Streamlit, Power BI, or custom web dashboards).
• Understanding of MLOps and deployment pipelines for AI models.

How to Apply:

If you are interested in this opportunity, please apply directly through LinkedIn Easy Apply and make sure to attach your CV and portfolio of AI projects.

Overview

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.

• Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring.
• Design and develop scalable solutions using classical ML and GenAI techniques.
• Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models.
• Collaborate with squads and platform teams to ensure reusability and adherence to standards.
• Mentor junior ML engineers and contribute to the internal ML knowledge base.
• Integrate models with APIs and backend services as needed.
• 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.

• 5+ years’ experience in applied ML, AI, or data science.
• Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers).
• Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability.
• Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing.
• 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.
• Proven track record of deploying ML models in production at scale.
• Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness.
• Strong understanding of data pipelines, experimentation, and model evaluation.
• Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK).
• Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex.

We believe you will love working at Foodics!

• We have an inclusive and diverse culture that encourages innovation.
• We offer highly competitive compensation packages, including bonuses and the potential for shares.
• 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.
• Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.
• We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.

Job Summary:

We are seeking an experienced Presales Engineer with a strong background in digital technologies and solution architecture to support our sales and delivery teams. This role requires the ability to understand customer challenges, design tailored technical solutions, and demonstrate value across key domains including data analytics, cloud, AI, and application development .

Key Responsibilities:

• Collaborate with the sales team to understand client requirements and propose customized solutions
• Design and present technical architecture aligned with customer needs and industry best practices
• Deliver technical presentations, product demos, and Proof of Concepts (PoCs)
• Support RFP/RFI responses, solution proposals, and pricing estimations
• Bridge communication between technical and non-technical stakeholders
• Stay up to date with emerging technologies and market trends relevant to our client focus areas

Core Technical Expertise Required:

Data Analytics : Familiar with designing analytical solutions, dashboards, and insights delivery

AI & Machine Learning : Familiarity with ML workflows, model training/integration (not deep research-focused)

Cloud Computing

• Cloud migration strategies and architecture
• Infrastructure and platform services across Any Cloud technologies
• Cloud-native application design and deployment

Custom Application Development Experience

• Full lifecycle expertise in Java, Web & Mobile application development
• Integration with APIs, backend systems, and third-party services

Preferred / Advantageous Experience with the Following Platforms:

• Pega (BPM & case management solutions)
• web Methods and IBM Integration Suite
• Google Apigee (API management)
• Camunda (workflow and process automation)

Qualifications & Skills:

• Bachelor’s degree in computer science, Engineering, or related field
• 7+ years of experience in presales, solution engineering, or technical consulting
• Strong communication and presentation skills
• Proven client-facing experience in enterprise-level engagements
• Ability to write clear and concise technical proposals and documentation

Why Join Us?

• Work on strategic digital transformation projects with leading telecom client.
• Opportunity to shape cutting-edge solutions in cloud, AI, and integration
• Dynamic work environment with high visibility and impact

About the Role:

We are seeking a highly skilled Senior Computer Vision Engineer to play a pivotal role in designing and building our next-generation, AI-powered video analytics platform. This is a hands-on, technical contributor role where you will leverage your deep expertise in multimedia frameworks to create high-performance, real-time solutions that push the boundaries of what's possible.

Key Responsibilities:

• Design, develop, and optimize robust, scalable video analytics pipelines using NVIDIA DeepStream, GStreamer, and TensorRT.
• Write high-quality, efficient, and maintainable code primarily in C/C++ and Python for real-time systems.
• Collaborate closely with product management and engineering teams to translate complex requirements into technical architecture and implementation plans.
• Perform debugging, profiling, and system optimization to maximize video streaming and AI inference performance.
• Integrate and optimize AI/ML models within production-grade video processing applications.
• Champion best practices through active participation in code reviews and contribute to the continuous improvement of our development processes.
• Ensure the reliability, scalability, and efficiency of solutions deployed in real-world environments.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7+ years
  of professional software development experience.
• Strong, hands-on expertise with the NVIDIA DeepStream SDK, GStreamer framework, and TensorRT.
• Proven proficiency in C/C++ and Python programming for building performance-critical systems.
• Solid experience with video streaming protocols, multimedia frameworks, and developing AI-driven video applications.
• A proven track record of developing, shipping, and maintaining production software with a strong focus on performance and scalability.
• Excellent problem-solving abilities and strong collaboration skills.

Preferred Qualifications (Nice to Have):

• Experience with containerization technologies like Docker and deployment on edge devices.
• Familiarity with Video Management Systems (VMS) or applications in domains like smart cities, retail analytics, or industrial IoT.
• Practical experience with the integration and optimization of machine learning models into software pipelines.

We're looking for a Machine Learning Engineer who is deeply grounded in ML theory and excited to design, train, fine-tune, and deploy Large Language Models (LLMs) and other ML systems in real-world production environments.

You'll work closely with backend and product individuals/teams to deliver smart, scalable features—from rapid experimentation to full-scale deployment. If you're passionate about ML theory, hands-on with LLMs, and know how to ship high-impact AI features, this role is for you.What You'll Do

• Design and implement ML solutions from ideation to production
• Fine-tune and integrate LLMs
• Deploy and monitor LLM-powered features at scale in real-world products
• Collaborate with engineers and product teams to build intelligent, user-facing features
• Write clean, scalable code and detailed technical documentation
• Stay current with the latest in ML research, LLM capabilities, and MLOps best practices

Must-Haves

1. Be an Arabic speaker
2. Have at least 1 year of non-internship experience in Machine Learning.
3. Strong ML and DL theory background, you don't just use things, you know how they are working under the hood.
4. Experience training and fine-tuning LLMs, with practical knowledge of transformer architectures
5. Solid production-level Python experience and strong software engineering fundamentals (OOP, OOD, DSA)
6. Familiarity with LLM integration frameworks like HuggingFace Transformers, OpenAI, or LangChain
7. Familiarity with ML data pipelines and manipulation tools (e.g., Pandas, NumPy)
8. Strong research, writing, and documentation skills
9. Collaborative mindset and ability to communicate technical ideas clearly

Nice-to-Haves

• Experience deploying LLM-based features to production
• Knowledge of parameter-efficient fine-tuning (LoRA, QLoRA, PEFT)
• Familiarity with RAG pipelines and vector databases (e.g., Pinecone, Weaviate)
• Understanding of model serving and inference optimization (quantization, batching)
• Exposure to MLOps practices (monitoring, versioning, CI/CD for ML)
• Experience with RESTful APIs, Docker, and cloud platforms (GCP, AWS, or Azure)
• Interest in NLP applications, smart assistants, or chatbot systems

***Business Analyst-AI- Contract+ Extension – Riyadh/English/Arabic Speaker***

Job Title: Business Analyst-AI

Location: Riyadh/ Fully Onsite(5 days)

Employment Type: Contract+ Extension

Our Client, a leading software Industry is seeking a Business Analyst-AI to join their team on a contract basis in Riyadh.

Requirements:

•Strong understanding of specific domains(Legal , finance, consumer protection etc.

•Good understanding of the AI Value Chain t

•Python SQL and Data Visualization

•Arabic Speaker

If this sounds of Interest, please send your CV to and I'll call you to discuss the role further.

As an AI Trainer, I design and deliver engaging training programs in Artificial Intelligence, Machine Learning, and Data Science. I help learners build strong foundations in programming, algorithms, and modern AI frameworks, while simplifying complex concepts into practical, real-world applications.

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.

• Design, develop, and deploy AI/ML models for financial applications (fraud detection, risk assessment, robo-advisory, etc.).
• Build and optimize end-to-end ML pipelines (data ingestion → preprocessing → deployment → monitoring).
• Implement LLM-based solutions using OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex.
• Develop and maintain cloud-native architectures (AWS, GCP, Azure).
• Apply MLOps best practices: CI/CD for ML, automated testing, observability.
• Collaborate with product managers, data scientists, and compliance teams.
• Drive rapid prototyping through POCs and MVPs.
• Ensure compliance with cybersecurity and regulatory standards (explainable AI, bias detection, SAMA).
• Contribute to open-source projects and stay updated with AI/ML advancements.

• 5+ years of professional software development experience.
• 2+ years of hands-on experience in AI/ML production environments.
• Expertise in AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Proficiency with LLM frameworks (OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex).
• Experience in prompt engineering, fine-tuning, and RAG architectures.
• Strong knowledge of MLOps pipelines, CI/CD practices, and model deployment.
• Advanced proficiency with cloud platforms (AWS, GCP, or Azure).
• Familiarity with Infrastructure as Code (Terraform, CloudFormation, Pulumi).
• Solid experience with backend & frontend development , FastAPI, Django, React, , etc.).
• Knowledge of databases, APIs, container orchestration (Kubernetes, Docker), and DevOps tools.

• Experience in AI solutions for financial services.
• Knowledge of edge AI and device-level inference optimization.
• Background in quantitative finance or algorithmic trading.
• Familiarity with blockchain / distributed ledger technologies.
• Publications, research contributions, or conference presentations in AI/ML.
• Proficiency in Arabic NLP and language models (technical skill, not necessarily spoken fluency).
• Previous startup or venture studio experience.
• Domain expertise in computer vision, NLP, time-series forecasting, or recommender systems.

• Builder Mentality: Focused on delivering working AI systems, not just designs.
• Problem-Solving: Ability to tackle complex, ambiguous challenges with speed.
• Technical Leadership: Influences design and architecture decisions.
• Innovation Drive: Passion for applying cutting-edge AI in real-world fintech use cases.
• Rapid Prototyping: Skilled at building POCs and MVPs to validate ideas.
• Collaboration: Strong communicator, effective with cross-functional teams.
• Learning Agility: Continuously stays ahead of AI/ML advancements.
• Pragmatic Approach: Balances technical excellence with business priorities and time-to-market.

Incorta is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try Incorta become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful.

As a Senior GenAI Developer at Incorta, you'll lead the creation of cutting-edge generative AI solutions leveraging Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). You will play a key role in developing agentic solutions that empower our customers by enhancing decision-making processes and optimizing their analytics workflows.

YOU WILL

• Data Analysis & Modeling: Collect, clean, and analyze large datasets to identify trends, patterns, and insights.
• Machine Learning & AI: Develop and deploy predictive models, recommendation systems, and AI-driven solutions.
• Architected, developed, and deployed GenAI solutions integrated with RAG and LLM frameworks.
• Design and engineer sophisticated prompts and fine-tune LLMs to achieve optimal performance.
• Business Impact: Work closely with product, marketing, and engineering teams to provide data-driven solutions.
• Data Visualization: Communicate findings effectively using dashboards and visual tools.
• Optimization & Automation: Enhance existing models and automate data workflows for efficiency.
• Collaboration: Partner with data engineers and business stakeholders to improve data quality and strategy.

YOU HAVE

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 6+ years of experience in data science, machine learning, or a related field.
• Strong programming skills in Python, R, or SQL.
• Experience with machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorch.
• Proven ability to build and deploy AI/ML solutions at scale.
• Strong communication skills and ability to clearly articulate complex technical concepts.

We could tell you that we're building something that truly optimizes the way business intelligence is done. We could also tell you that we're backed by marquee VC's such as Google Ventures and Kleiner Perkins. Or even the fact that we were named one of Inc. Magazine's Best Workplaces of 2022 while also being the only vendor to be recognized in the 2022 Gartner Magic Quadrant and the 2022 Gartner Market Guide. All true, but the real reason you will want to come work for Incorta is that you'll be part of an early team that is building a game-changing analytics product that will allow companies to answer complex questions in days or weeks like the current solutions.

Incorta provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.