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artificial intelligence (ai) engineer Jobs in Riyadh

artificial intelligence (ai) engineer

machine learning engineer

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

<div>
 
 
 Job Overview:
 
 
 
 
 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.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <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
 
 
 
 
 
 Required Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
 </li>
 <li>
 5-7 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>

Devoteam

<div>
 
 
 Company Description
 
 
 
 
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,&nbsp;
 
 
 
 Values:
 
 
 
 1. Respect
 
 
 2. Frankness
 
 
 3. Passion
 
 
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 &nbsp;
 
 
 
 
 Job Description
 
 
 
 
 As a Senior Data Scientist\Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success
 
 
 Key responsibilities :&nbsp;
 
 <ul>
 <li>
 Identifying relevant data sources for business needs.
 </li>
 <li>
 Processing, cleansing, and Organising data into usable formats.
 </li>
 <li>
 Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends
 </li>
 <li>
 Apply data mining techniques such as association rule discovery, classification, and clustering&nbsp;
 </li>
 <li>
 Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets
 </li>
 <li>
 Transform and preprocess raw data to create meaningful features that can improve model performance.
 </li>
 <li>
 Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
 </li>
 <li>
 Communicate complex data findings in a clear and concise manner to non-technical stakeholders
 </li>
 <li>
 Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
 </li>
 <li>
 
 Advanced Technical Skills:&nbsp;&nbsp;Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
 
 </li>
 <li>
 
 Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
 
 </li>
 <li>
 
 Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
 
 </li>
 <li>
 
 &nbsp;
 
 
 Build conversational AI applications.
 
 </li>
 </ul>
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, IT or equivalent
 </li>
 <li>
 + 7 year experience within the data science field.
 </li>
 <li>
 Has a strong knowledge and proven experience in following areas: SQL, statistics , machine learning and programming
 </li>
 <li>
 Strong expertise in various supervised and unsupervised machine learning algorithms such as Time Series Forecasting ,regression ,Clustering,Classification and deep learning methods
 </li>
 <li>
 Experience working with Agile methodologies
 </li>
 <li>
 Ability to communicate with both technical and non-technical audiences
 </li>
 <li>
 Excellent English and Arabic communication skills (written &amp; spoken)
 </li>
 <li>
 Analytical mindset and Problem-solving skills
 </li>
 <li>
 Alteryx or Dataiku experience is a must
 </li>
 <li>
 MLOps experience is a plus
 </li>
 <li>
 Practical Knowledge of big data systems is a plus
 </li>
 </ul>
 
 
 
 Additional Information
 
 
 
 
 BU: Data Intelligence
 
 
 Senio Level&nbsp;
 
</div>

Senior Data Scientist

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)

SmartChoice International UAE

<div>
 
 
 Role: AI Engineer
 
 
 
 
 Onsite in Riyadh, KSA
 
 
 
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re seeking an experienced and innovative
 
 AI/ML Engineer
 
 to help design and deploy cutting-edge machine learning models across real-world applications.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy production-grade
 
 AI/ML models
 
 </li>
 <li>
 Work across use cases such as
 
 natural language processing (NLP)
 
 ,
 
 recommendation systems
 
 ,
 
 generative AI
 
 ,
 
 classification models
 
 , and
 
 voice or image recognition
 
 </li>
 <li>
 Integrate AI functionality into applications using
 
 Node.js
 
 ,
 
 JavaScript
 
 , and other modern frameworks
 </li>
 <li>
 Collaborate with frontend and backend engineering teams to embed AI features into
 
 mobile and web products
 
 </li>
 <li>
 Leverage past experience in shipping AI capabilities into real-world applications (e.g.,
 
 LLMs
 
 , recommendation engines,
 
 voice assistants
 
 , or
 
 computer vision
 
 )
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 5+ years of hands-on experience
 
 in AI/ML engineering with clear evidence of deployed AI-powered features
 </li>
 <li>
 Proficiency in
 
 Python
 
 and
 
 JavaScript/TypeScript
 
 </li>
 <li>
 Strong grasp of
 
 algorithms
 
 ,
 
 data structures
 
 ,
 
 data architecture
 
 , and
 
 large-scale model handling
 
 </li>
 <li>
 Experience with
 
 ML frameworks
 
 such as
 
 TensorFlow
 
 ,
 
 PyTorch
 
 , and
 
 scikit-learn
 
 </li>
 <li>
 Deep understanding of
 
 model training
 
 ,
 
 fine-tuning
 
 , evaluation metrics, and optimization strategies
 </li>
 <li>
 Familiarity with building and maintaining
 
 data pipelines
 
 </li>
 </ul>
 
 
</div>

Artificial Intelligence Engineer

MASTER-WORKS

<div>Master-Works is looking for a skilled Data Scientist with over 3 years of experience to enhance our analytics team. In this role, you will dive deep into data analysis and apply your knowledge of machine learning and statistical techniques to drive business outcomes and support our strategic initiatives.
Key Responsibilities:<ul>
<li>Design and develop robust data models and algorithms to tackle complex business issues.</li>
<li>Perform extensive data analysis to identify insights, patterns, and trends from various data sources.</li>
<li>Implement predictive analytics using machine learning and statistical methods to enhance decision-making.</li>
<li>Collaborate with cross-functional teams to translate business requirements into analytical solutions.</li>
<li>Communicate findings and actionable insights clearly to stakeholders at all levels.</li>
</ul>Join Master-Works to play a pivotal role in leveraging data as a strategic asset and driving our organization forward through data-driven insights.
Requirements<ul>
<li>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.</li>
<li>3+ years of experience in data science, analytics, or a related field.</li>
<li>Proficient in programming languages such as Python, R, or SQL.</li>
<li>Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn).</li>
<li>Strong skills in data visualization tools, such as Tableau or Power BI.</li>
<li>Solid understanding of statistical analysis and modeling techniques.</li>
<li>Effective problem-solving skills and attention to detail.</li>
<li>Strong communication skills to convey complex data concepts to non-technical audiences.</li></ul></div>

Data Scientist

Master Works

<div>
 Master-Works is looking for a skilled Data Scientist with over 3 years of experience to enhance our analytics team. In this role, you will dive deep into data analysis and apply your knowledge of machine learning and statistical techniques to drive business outcomes and support our strategic initiatives.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and develop robust data models and algorithms to tackle complex business issues
 </li>
 <li>
 Perform extensive data analysis to identify insights, patterns, and trends from various data sources
 </li>
 <li>
 Implement predictive analytics using machine learning and statistical methods to enhance decision-making
 </li>
 <li>
 Collaborate with cross-functional teams to translate business requirements into analytical solutions
 </li>
 <li>
 Communicate findings and actionable insights clearly to stakeholders at all levels
 
 
 </li>
 </ul>
 Join Master-Works to play a pivotal role in leveraging data as a strategic asset and driving our organization forward through data-driven insights.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 <li>
 3+ years of experience in data science, analytics, or a related field
 </li>
 <li>
 Proficient in programming languages such as Python, R, or SQL
 </li>
 <li>
 Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn)
 </li>
 <li>
 Strong skills in data visualization tools, such as Tableau or Power BI
 </li>
 <li>
 Solid understanding of statistical analysis and modeling techniques
 </li>
 <li>
 Effective problem-solving skills and attention to detail
 </li>
 <li>
 Strong communication skills to convey complex data concepts to non-technical audiences
 </li>
 </ul>
</div>

Explore 582+ Machine learning engineer in Riyadh this September. Find roles across top companies and apply now to boost your career.

582 machine learning engineer jobs IN Riyadh

Artificial Intelligence (AI) Engineer

Artificial Intelligence (AI) Engineer

Senior Data Scientist

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

Artificial Intelligence Engineer

Data Scientist

Data Scientist