intelligence engineer

Bridging Technology

Bridging Technologies is hiring for AI Engineer:Experience: 2-5 years of experienceLocation: MohaliJob Description:-We are seeking an experienced AI Engineer to join our team and play a key role in developing and integrating cutting-edge AI tools into our SaaS products. The ideal candidate has hands-on expertise with platforms like OpenAI, LangChain, or Hugging Face, and a strong background in delivering scalable, production-ready AI solutions. In this role, you will lead AI feature development, collaborate cross-functionally, and mentor junior engineers.Responsibilities:-<ul><li>Design and develop AI-driven features leveraging large language models (LLMs) and embedding techniques.</li><li>Integrate solutions using tools such as OpenAI, vector databases (e.g., Pinecone, FAISS), and generative AI frameworks like LangChain or Hugging Face.</li><li>Build and maintain Retrieval-Augmented Generation (RAG) pipelines and conversational AI workflows.</li><li>Collaborate closely with backend and frontend engineering teams to ensure seamless integration of AI capabilities into the product.</li><li>Continuously optimize AI models and pipelines for performance, scalability, and accuracy.</li></ul>Requirements:<ul><li>3&ndash;5 years of experience in AI/ML-focused software development</li><li>Proficiency in Python and hands-on experience with AI frameworks and toolkits such as LangChain, Pinecone, and OpenAI</li><li>Strong problem-solving abilities and solid understanding of system architecture and design</li><li>Excellent communication and collaboration skills</li><li>Must be able to work full-time from our office location (this is not a remote role).</li></ul>Job Type: Full-timePay: &#8377;30,000.00 - &#8377;80,000.00 per monthBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Artificial Intelligence: 2 years (Preferred)</li></ul>Work Location: In person

Artificial Intelligence Engineer

Özyeğin University

<div>
 
 We are looking for an innovative AI Engineer who will design, develop, and deploy artificial intelligence (AI) and data analytics-based applications aligned with our organization's strategic goals.
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Engineering, Software Engineering, Data Science, or related fields
 </li>
 <li>
 Minimum 3 years of experience in AI and data analytics.
 </li>
 <li>
 Advanced programming skills in Python, R, or related languages.
 </li>
 <li>
 Experience in RAG architectures, agentic chatbot systems, and LLM models.
 </li>
 <li>
 Knowledge of vector databases (Pinecone, Qdrant, Pgvector, etc.).
 </li>
 <li>
 Experience with workflow tools such as Flowise, n8n, or similar.
 </li>
 <li>
 Competency in API development and microservice architectures.
 </li>
 <li>
 Proficiency in SQL, including querying, creating views/tables, functions, and stored procedures
 </li>
 <li>
 Strong problem-solving, analytical thinking, and communication skills.
 </li>
 <li>
 Fluent in English, both written and spoken.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop Retrieval-Augmented Generation (RAG) architectures and agentic chatbot systems, integrating them with existing corporate information systems.
 </li>
 <li>
 Utilize vector databases such as Pinecone, Qdrant, and Pgvector to create data indexing, semantic search, information retrieval, and recommendation systems.
 </li>
 <li>
 Design, develop, and implement corporate process automation solutions using workflow automation tools such as Flowise, n8n, and similar platforms.
 </li>
 <li>
 Manage fine-tuning or training processes of large language models (LLM) tailored to organizational needs; actively participate in data collection, preprocessing, model training, and evaluation phases.
 </li>
 <li>
 Collect and analyze structured and unstructured data from various sources to generate actionable insights that add value to the organization.
 </li>
 <li>
 Participate in API development, microservices, and integration processes for AI and data analytics applications; ensure the sustainability, performance, and security of systems.
 </li>
 <li>
 Create decision-support systems using data visualization and reporting tools, and provide data-driven reports to management and stakeholders.
 </li>
 <li>
 Continuously monitor the performance of applications and models, develop optimization suggestions, and manage improvement processes.
 </li>
 <li>
 Prepare technical documentation for AI and data projects, documenting processes and integration steps in detail.
 </li>
 <li>
 Stay updated on current AI and data analytics technologies and methodologies, evaluate their applicability within the organization, and develop pilot projects.
 </li>
 <li>
 Share knowledge within the team, providing technical consultancy and guidance as needed.
 </li>
 <li>
 Build and maintain data pipelines to connect various data sources and manage the ELT (Extract, Load, and Transform) process using SSIS.
 </li>
 <li>
 Develop business performance visualizations and dashboards using SSRS to report on daily, weekly, and monthly activities, identify KPIs, and monitor progress.
 </li>
 <li>
 Foster a culture of data-driven decision-making by promoting objectivity over subjectivity and ensuring opinions are not mistaken for facts.
 </li>
 <li>
 Adhere strictly to information security, data privacy, and ethical principles, complying fully with relevant legal and corporate standards.
 </li>
 </ul>
 
 
</div>

digital.enterprises

<div>
 
 
 BUILD THE REAL-TIME INTELLIGENCE OF ADAPT
 
 
 
 
 
 
 
 About digital.enterprises
 
 
 
 digital.enterprises is shaping the future of the energy sector. We help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations. Based in Doha, the LNG and GTL capital of the world, we fuse deep industry expertise with cutting-edge digital thinking to transform how energy companies work, connect, and grow. If you are driven by impact, speed, and purpose not titles or bureaucracy you will fit right in.
 
 
 
 
 
 
 About ADAPT
 
 
 
 ADAPT is our flagship platform a real-time digital mesh connecting the energy sectors Maintenance, Repair &amp; Operations (MRO) ecosystem. Instead of long procurement cycles, ADAPT matches buyer demand with supplier capability instantly, using live data and AI to surface qualified options with governance, auditability, and human-in-the-loop controls.
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking an experienced AI Engineer to architect and implement the intelligent layer powering ADAPT. You will build production-grade LLM applications that disintermediate RFQs through real-time matching, provide real-time decision support, and deliver actionable insights to both buyers and suppliers. This role requires deep technical expertise in modern AI frameworks, enterprise-grade system design, and the ability to translate complex business requirements into reliable AI solutions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 - AI Application Development
 
 
 <ul>
 <li>
 Design and deploy production LLM applications (LangChain/LangGraph) for supplier matching, requirement extraction, and automated workflow orchestration.
 </li>
 <li>
 Implement sophisticated tool/function calling to integrate LLMs with external systems (inventory databases, ERPs, communications platforms).
 </li>
 <li>
 Build robust context and memory systems for multi-turn conversations and long-running industrial processes.
 </li>
 <li>
 Develop intelligent agents for supplier evaluation, alternative proposals, and emergency response scenarios.
 </li>
 </ul>
 
 
 
 
 
 - System Architecture &amp; Optimisation
 
 
 <ul>
 <li>
 Write clean, maintainable code following established patterns and best practice.
 </li>
 <li>
 Optimise inference pipelines for latency, cost, and accuracy in high-stakes environments.
 </li>
 <li>
 Design scalable architectures for concurrent users across maintenance, procurement, and supplier teams.
 </li>
 <li>
 Implement caching, batching, and performance optimisations for enterprise-scale deployments.
 </li>
 </ul>
 
 
 
 
 
 - AI Quality &amp; Reliability
 
 
 <ul>
 <li>
 Develop comprehensive evaluation frameworks (AI evals) to measure accuracy, relevance, and business impact.
 </li>
 <li>
 Design and execute fine-tuning strategies for domain-specific models (MRO terminology, supplier capability, part specifications).
 </li>
 <li>
 Explore and implement RL-based agents for dynamic supplier analysis where beneficial.
 </li>
 <li>
 Create sophisticated prompt engineering solutions that balance specificity and flexibility.
 </li>
 </ul>
 
 
 
 
 
 - Security &amp; Compliance
 
 
 <ul>
 <li>
 Implement security best practice for sensitive procurement data, supplier information, and commercial terms.
 </li>
 <li>
 Ensure compliance with data protection regulations and industry standards (ISO, API standards, etc.).
 </li>
 <li>
 Design audit trails and logging for AI-assisted decisions in regulated environments.
 </li>
 <li>
 Build safeguards against prompt injection, data leakage, and other AI-specific vulnerabilities.
 </li>
 </ul>
 
 
 
 
 
 - Domain Integration
 
 
 <ul>
 <li>
 Collaborate with domain experts to understand oil &amp; gas MRO workflows, terminology, and critical requirements.
 </li>
 <li>
 Travel to client sites, supplier locations, and operational facilities to understand real-world constraints.
 </li>
 <li>
 Translate operational requirements into technical specifications and AI capabilities.
 </li>
 <li>
 Provide technical guidance during customer implementations and onboarding.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 - Experience &amp; Background
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience in enterprise environments.
 </li>
 <li>
 Hands-on experience delivering working AI applications in production or advanced pilot environments.
 </li>
 <li>
 Experience working in regulated or sensitive-data settings.
 </li>
 </ul>
 
 
 
 
 
 Technical Expertise
 
 
 
 
 
 
 
 - LLM Frameworks &amp; Foundation Models
 
 
 <ul>
 <li>
 Deep expertise building complex agent workflows.
 </li>
 <li>
 Hands-on with major LLMs (OpenAI, Anthropic, open-source) including API integration and optimisation.
 </li>
 </ul>
 
 
 
 
 
 - Advanced AI Patterns
 
 
 <ul>
 <li>
 Function/tool calling and external system integration.
 </li>
 <li>
 Context-window management and retrieval strategies.
 </li>
 <li>
 Memory systems for stateful conversations and long-running processes.
 </li>
 </ul>
 
 
 
 
 
 - AI Engineering
 
 
 <ul>
 <li>
 Building evaluation frameworks and metrics for LLM applications.
 </li>
 <li>
 Fine-tuning for domain-specific use cases.
 </li>
 <li>
 Experimenting with RL-based agents where impactful.
 </li>
 <li>
 Advanced prompt engineering and optimisation.
 </li>
 </ul>
 
 
 
 
 
 - Software Engineering
 
 
 <ul>
 <li>
 Clean-code principles and&nbsp;SOLID&nbsp;design patterns.
 </li>
 <li>
 Performance optimisation and scalability.
 </li>
 <li>
 Version control (Git) and&nbsp;CI/CD&nbsp;pipelines.
 </li>
 <li>
 Testing strategies for AI systems (unit, integration, end-to-end).
 </li>
 <li>
 Security best practice, data protection, and compliance awareness.
 </li>
 </ul>
 
 
 
 
 
 - Soft Skills
 
 
 <ul>
 <li>
 Communication: explain complex AI concepts to non-technical stakeholders; write clear documentation; collaborate across teams.
 </li>
 <li>
 Travel: willingness and ability to travel to operational sites, client facilities, and partner locations.
 </li>
 <li>
 Problem-solving: strong analytical thinking; break down complex business problems into implementable AI solutions.
 </li>
 </ul>
 
 
 
 
 
 - Preferred
 
 
 <ul>
 <li>
 Domain knowledge in oil &amp; gas operations, supply chain, or industrial procurement.
 </li>
 <li>
 Experience with MRO/EAM/supply chain software.
 </li>
 <li>
 Familiarity with industry-specific standards and terminology.
 </li>
 <li>
 Background in traditional ML/data science beyond LLMs.
 </li>
 <li>
 Experience with vector databases, semantic search, and RAG architectures.
 </li>
 </ul>
 
 
 
 
 
 Why join us?
 
 
 
 At digital.enterprises, AI is a partner to people, not a replacement. This is Industry 5.0 in practice: technology amplifying human capability so energy operations become safer, more reliable, and more efficient delivering secure, affordable, cleaner energy at scale. You will join a mission-driven team led by credible industry leadership with the freedom to build technology that genuinely changes how an industry works.
 
</div>

DXC Technology

<div>
 
 Position: AI/ML Engineer
 
 
 Location: Bengaluru/ Pune/Chennai/Hyderabad/Noida
 
 
 Notice Period : 15-30 days of Notice Period
 
 
 
 
 
 We&rsquo;re currently hiring for an
 
 experienced AI/ML Engineer
 
 to join
 
 DXC Technology
 
 . This role offers the opportunity to work on innovative projects involving
 
 AI frameworks and Large Language Models (LLMs)
 
 within our R&amp;D environment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and present
 
 Proof of Concepts (PoCs)
 
 to business stakeholders.
 </li>
 <li>
 Build
 
 innovative AI-based solutions
 
 , integrating and optimizing models for production.
 </li>
 <li>
 Drive the
 
 adoption of LLMs
 
 within the enterprise application landscape.
 </li>
 <li>
 Develop
 
 new functionality
 
 for research and development (R&amp;D) applications.
 </li>
 <li>
 Conduct
 
 code reviews
 
 and ensure adherence to high-quality coding standards.
 </li>
 <li>
 Implement and promote
 
 best practices
 
 in software development and AI integration.
 </li>
 </ul>
 
 
 Mandatory Skills:
 
 
 <ul>
 <li>
 Minimum
 
 6 years of AI/ML development experience
 
 .
 </li>
 <li>
 
 Advanced proficiency in Python
 
 and modern Python frameworks.
 </li>
 <li>
 Strong understanding of
 
 AI/ML frameworks
 
 (e.g., TensorFlow, PyTorch, Hugging Face).
 </li>
 <li>
 Hands-on experience with at least
 
 one Large Language Model (LLM)
 
 .
 </li>
 <li>
 Proven experience in
 
 data science
 
 , model development, and deployment.
 </li>
 </ul>
 
 
 Nice-to-Have Skills:
 
 
 <ul>
 <li>
 Familiarity with
 
 multiple LLMs
 
 and their integration into commercial or enterprise-scale projects.
 </li>
 <li>
 Experience in cloud platforms (e.g., AWS, Azure, GCP) for AI/ML deployment.
 </li>
 </ul>
 
 
</div>

Hepsiburada (NASDAQ: HEPS)

<div>
 
 At Hepsiburada, we are driven by our mission to improve people's lives by developing innovative products and services. Prioritizing customer satisfaction, we offer over 280 million products across more than 30 categories. Through our marketplace model, we bring together over 100,000 businesses. With T&uuml;rkiye&rsquo;s and the region's largest Smart Operations Center, industry-leading R&amp;D initiatives, and innovative solutions, we contribute significantly to the growth of the e-commerce ecosystem. For the past two years, we have proudly held the title of Turkey's most recommended e-commerce platform.
 
 
 
 
 
 Through our innovative services like HepsiJET, Hepsipay, HepsiLojistik, HepsiAd, and Hepsiburada Global, we create value for all our stakeholders. Committed to harnessing technology for social benefit, our &ldquo;Technology Empowerment for Women Entrepreneurs&rdquo; program has connected thousands of women entrepreneurs with e-commerce, supporting their growth. Our goal is to leverage digitalization and e-commerce to enable greater economic participation.
 
 
 
 
 
 With 25 years of experience driven by innovation and entrepreneurship, we proudly continue our journey as &ldquo;T&uuml;rkiye&rsquo;s Hepsiburada&rdquo; and the first and only Turkish company listed on NASDAQ, the world's leading technology exchange.
 
 
 
 
 
 For our colleagues, we offer a work environment that supports creating together and adding more meaning to our work. As a team full of opportunities, we are happy to develop, produce and succeed together.
 
 
 
 
 
 If you want to be part of a team that creates value for everyone and makes life easier through innovative products and services&mdash;and contribute to exciting success stories&mdash;the future starts here.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Developing, analyzing and maintaining the dashboards which are produced in BI Platforms,
 </li>
 <li>
 Ensuring BI Platforms &amp; Decision-making Systems serve continuously and produce consistent reports,
 </li>
 <li>
 Execution of relevant test and maintenance stages in all BI processes,
 </li>
 <li>
 Meeting the problems and new development requests coming to the unit within the scope of business intelligence,
 </li>
 <li>
 Contribute to the performance and architecture management of the BI reporting tool used.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 B.S. degree preferably in Computer Science, Industrial Engineering, MIS, Mathematics, or related fields,
 </li>
 <li>
 At least 3 years of experience in Business Intelligence tools; such as QlikSense, QlikSense SAAS, QlikView vs.
 </li>
 <li>
 Knowledge of Data Modeling, Data Warehousing and ETL processes,
 </li>
 <li>
 Knowledge of Cloud platforms, such as Google Cloud Platform,
 </li>
 <li>
 Knowledge of Data Governance principles and approach,
 </li>
 <li>
 Seeing reporting not only as an interface that shows the past but also as an analytical and forward-looking tool.
 </li>
 </ul>
 
 
 
 
 
 
 
 https://medium.com/hepsiburadatech
 
 
 https://stackshare.io/hepsiburada
 
 
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu D-Market Elektronik Hizmetler ve Ticaret A.&Scedil; (&ldquo;Hepsiburada&rdquo;) taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir.Ayd&inodot;nlatma Metni&rsquo;ne https://www.hepsiburada.com/kisisel-verilerin-korunmasi linkinden ula&scedil;abilirsiniz.
 
 
</div>

Business Intelligence Engineer

<div><div>Job duties include but are not limited to:</div><div></div><div> 
The Business Intelligence (BI) Engineer is responsible for the end-to-end design, development, and maintenance of BI solutions, including data warehousing, integration layers, and dashboard development using enterprise BI tools. The role requires close collaboration with various departments to translate raw data into structured, meaningful insights for optimized decision-making processes. The position demands a strong technical understanding of data architecture and business intelligence frameworks.</div><ul><li>
Design, implement, and maintain the data warehouse architecture to ensure data integrity scalability and efficiency.</li><li>
Create and maintain data models to support reporting and analytics initiatives.</li><li>
Optimize ETL processes for data extraction, transformation, and loading, ensuring data integrity and accuracy. Ensure data from multiple sources is aggregated, cleansed, and stored accurately in data warehouses.</li><li>
Develop and maintain a variety of reports and dashboards using business intelligence tools (OBIE, Power BI).</li><li>
Implement and enforce data governance policies and procedures to ensure data quality and security.</li><li>
Use current change control standards and SDLC to successfully implement solutions.</li><li>
Collaborate with cross-functional teams to integrate Oracle applications with other enterprise tools and applications.</li><li>
Take ownership and resolve service requests within SLA timelines.</li><li>
Lead the planning and implementation of application and technology updates and upgrades.</li><li>
Ensure data integrity and security across Oracle platforms.</li><li>
Document technical processes and develop user guides for new applications.</li><li>
Develop and manage BI tools, dashboards, and reporting systems using tools such OBIE/OAC, Power BI, or other relevant platforms.</li><li>
Conduct data analysis to identify trends, patterns, and insights that can drive business decisions. Collaborate with business users to gather requirements and translate them into technical specifications.</li><li>
Optimize SQL queries, BI tools, and data pipelines to enhance performance and ensure efficient data retrieval.</li><li>
Document BI systems and processes to ensure transparency and facilitate maintenance and knowledge transfer.</li></ul><div></div><div> 
Required Qualification:</div><div>
</div><ul><li>
Bachelor's or Master's degree in computer science, Information Systems, Data Science or a related field.</li><li>
Minimum of 8 years of experience with Oracle BI applications, Power BI</li><li>
Experience in creating data warehouse (e.g., star schema)</li><li>
Experience with data modeling tools</li><li>
Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus</li><li>
Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Google Big Query, Snowflake) is a plus.</li><li>
Experience with scripting languages (e.g., Python, R) is a plus.</li><li>
Strong communication and collaboration abilities. Strong analytical, troubleshooting, performance tuning, and debugging skills.</li><li>
Understanding of data governance, data quality, and security practices</li><li>
Experience in Waterfall and Agile Methodology</li></ul><div>
</div><div>
Required Professional Skills:</div><div>
</div><ul><li>
Oracle Database: SQL, PL/SQL, Java</li><li>
Application Development: Reports, BI publisher, Application APIs, Oracle Forms</li><li>
Application Technology: Oracle Alerts, Oracle Business Events, Workflow, Web ADI, OAF, APEX is a plus.</li><li>
Integration Technologies: Informatica, Data Warehouse Administration Console (DAC), Oracle Data integrator (ODI) Oracle Integration Cloud (OIC), Integration SOA Gateway, Rest APIs, familiar with XML, XSLT, and JSON data formats.</li><li>
Cloud: Oracle Cloud Infrastructure and cloud migration strategies.</li><li>
Reporting and analytics with Oracle BI, Power BI</li></ul></div>

Senior Business Intelligence Engineer

Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>10/16/2025
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>4-5 years
</div></div><div>Industry
<div>Technology
</div></div><div>City
<div>Riyadh
</div></div><div>State/Province
<div>Riyadh
</div></div><div>Country
<div>Saudi Arabia
</div></div><div>Zip/Postal Code
<div>11564
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div>We are seeking a Saudi National Artificial Intelligence Engineer with 2+ years of experience in designing, developing, and deploying AI and machine learning solutions. The ideal candidate will help the organization leverage AI technologies to automate processes, enhance decision-making, and drive innovation. This role is suitable for professionals with a strong technical background, analytical mindset, and passion for AI research and implementation. 
Key Responsibilities:<ul><li> 
Design, develop, and deploy AI/ML models to solve business problems.</li><li> 
Collect, clean, and pre process data from multiple sources for model training and evaluation.</li><li> 
Implement machine learning algorithms, deep learning models, and natural language processing (NLP) solutions.</li><li> 
Collaborate with business stakeholders to translate requirements into AI-driven solutions.</li><li> 
Evaluate model performance, tune hyper parameters, and ensure model accuracy and reliability.</li><li> 
Integrate AI models into existing systems, applications, or platforms.</li><li> 
Maintain proper documentation of models, experiments, and code.</li><li> 
Stay updated on emerging AI technologies, frameworks, and best practices.</li><li> 
Support cross-functional teams in AI adoption and knowledge transfer.</li></ul><div></div><h3 class="jobSectionHeader"> 
Requirements</h3>
Skills Required:<ul><li> 
2+ years of experience in AI, machine learning, or data science.</li><li> 
Strong programming skills in Python, R, or Java.</li><li> 
Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li> 
Knowledge of NLP, computer vision, or predictive modeling techniques.</li><li> 
Experience with SQL and data manipulation.</li><li> 
Familiarity with cloud AI services (AWS Sagemaker, Azure AI, Google AI) is a plus.</li><li> 
Strong analytical, problem-solving, and critical-thinking abilities.</li><li> 
Good communication and teamwork skills.</li><li> 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul></div></div></div>

Artificial Intelligence Engineer (Saudi National)

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