20 AI Internship jobs in Oman

• Architect and develop AI models and solutions that align with client requirements and business goals
• Collaborate with data scientists and software engineers to integrate AI capabilities into existing products
• Conduct experiments and prototype new algorithms to push the boundaries of our AI offerings
• Monitor and evaluate AI model performance, implementing improvements based on feedback and data analysis
• Stay up-to-date with the latest developments in AI and machine learning technologies
• Document methodologies and communicate findings effectively to both technical and non-technical stakeholders
  
  

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
• 3+ years of experience in AI/Machine Learning engineering or a similar role
• Proficient in programming languages such as Python or Java, with expertise in AI frameworks (e.g., TensorFlow, Keras, PyTorch)
• Strong understanding of deep learning, natural language processing, and computer vision techniques
• Experience with cloud platforms (e.g., AWS, Google Cloud) and their AI services
• Ability to work with large datasets and familiarity with data preprocessing techniques
• Strong analytical and critical thinking skills, with a problem-solving mindset
• Excellent interpersonal and communication skills to collaborate effectively with team members and clients
• Passion for AI and a commitment to continuous learning and professional development
  
  

• An honest, entrepreneurial, collaborative, high performance culture
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure

We are seeking a highly skilled AI Quality Engineer to join our National Large Language Model (LLM) Project. This key role will focus on establishing and implementing robust data quality frameworks, evaluation methodologies, and quality gates throughout the LLM development lifecycle. The ideal candidate will ensure our Arabic LLM meets the highest standards of performance, reliability, and cultural appropriateness before being deployed to 20,000 government employees.

• Design and implement comprehensive data quality frameworks specific to Arabic language datasets for LLM training and evaluation
• Establish and enforce quality gates at each project phase (data preparation, model training, evaluation, and RAG implementation)
• Develop detailed acceptance criteria for each phase gate requiring formal sign-off from key stakeholders
• Create and implement quality metrics for data annotation, achieving >90% inter-annotator agreement and >95% cultural/contextual accuracy
• Design and maintain data pipeline quality assurance processes for Arabic text normalization, diacritics standardization, and dialect variation mapping
• Implement Arabic-specific tokenization optimization with >98% vocabulary coverage and >95% morphological accuracy
• Develop comprehensive RAG quality measurement frameworks covering both retrieval metrics
• Establish automated monitoring systems for continuous quality assessment with real-time dashboards
• Create and enforce testing protocols for model evaluation across various Arabic language tasks
• Implement robust regression testing frameworks to ensure model updates maintain or improve quality metrics
• Develop protocols for bias detection and mitigation in both training data and model outputs
• Support the implementation of benchmarking against global standards
• Design human evaluation frameworks to assess model outputs qualitatively
• Collaborate with data annotation teams to ensure high-quality ground truth data
• Participate in weekly quality committee meetings and bi-weekly RAG performance reviews
• Create and maintain quality documentation including processes, guidelines, and acceptance criteria

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field
• 4+ years of experience in AI/ML quality assurance, with specific focus on natural language processing
• Strong understanding of LLM evaluation methodologies and benchmarking techniques
• Experience establishing quality gates and acceptance criteria for AI systems
• Hands-on experience with data quality frameworks and validation techniques
• Experience implementing multi-level annotation review processes with clear metrics
• Proficiency in designing data pipeline quality assurance systems for Arabic language processing
• Experience with RAG quality assessment covering both retrieval and generation components
• Ability to establish and track performance metrics against benchmarks
• Experience implementing automated testing frameworks and continuous integration for ML systems
• Strong knowledge of bias detection and fairness assessment in AI systems
• Familiarity with Arabic language and NLP challenges specific to Semitic languages
• Experience with human evaluation protocols and annotation quality assessment
• Proficiency in Python and relevant testing/quality assurance libraries
• Understanding of statistical analysis techniques for model evaluation
• Experience with data annotation platforms and quality control mechanisms
• Knowledge of responsible AI practices and ethical considerations

• Experience with LLM evaluation specifically for government or enterprise applications
• Knowledge of Arabic-specific LLM benchmarks
• Experience with RAG system evaluation and quality assurance
• Familiarity with platforms like Scale AI, Humanloop, or other annotation/evaluation systems
• Experience with hallucination detection and factual consistency verification
• Knowledge of prompt engineering and prompt quality assessment
• Experience with MLOps and quality gates in CI/CD pipelines for ML
• Proficiency with data lineage tracking and documentation
• Experience implementing A/B testing frameworks for model comparison
• Familiarity with user experience testing for AI applications
• Experience with security and privacy testing for AI systems
• Knowledge of ROUGE, BLEU, BERTScore, and other NLP evaluation metrics
• Experience creating custom metrics for domain-specific tasks
• Experience participating in quality governance committees

Position: AI Application Developer

Location: Muscat

Job Type: Full-Time

Overview:

We are looking for a skilled AI Application Developer to build an AI-enabled application that supports Python, ChatGPT, and .NET technologies. The role includes designing APIs, managing customer-specific contexts, and integrating with external systems.

Responsibilities:

1. AI Development: Implement and fine-tune AI models like ChatGPT for customer-specific needs.
2. API & Integration: Build and deploy RESTful APIs to integrate the application with CRM systems.
3. Database Management: Design databases to securely store and retrieve customer contexts.
4. Testing & Deployment: Ensure performance, reliability, and scalability of the application.
5. Collaboration: Work closely with front-end teams and backend for seamless functionality.

Job Specification :

Required Skills:

1. Programming: Expertise in Python and .NET (C#, ASP.NET).
2. AI/ML: Experience with ChatGPT or similar LLMs.
3. API Development: Proficient in RESTful APIs and CRM integrations.
4. Database: Hands-on experience with SQL/NoSQL databases.

Job Rewards and Benefits : Health Insurance, Leaves

We are looking for a dynamic and hands-on Lead AI & Engineering professional to spearhead our efforts in developing the next generation of AI-first deep infrastructure analytics tools. In this role, you will lead the architecture and development of our AI-first platform, ensuring the seamless integration of front-end and back-end technologies while guiding a multidisciplinary team toward building robust and intuitive products. You will play a pivotal role in shaping our technological direction, driving innovation, and ensuring our solutions remain at the cutting edge of the industry.

• Lead the design, architecture, and development of an AI-first platform, integrating front-end and back-end technologies to deliver advanced analytics tools.
• Lead our R&D efforts in AI, identifying and implementing new AI techniques, models, and technologies that can enhance our platform's capabilities.
• Develop and deploy advanced AI models and algorithms, including machine learning, deep learning, and reinforcement learning techniques, to solve complex infrastructure challenges and provide actionable insights to customers.
• Define and drive the AI strategy, aligning it with overall product and business goals, and ensure it meets the evolving needs of our customers and market.
• Guide and mentor a team of developers, data scientists, and UX designers, fostering a culture of collaboration, innovation, and excellence.
• Drive the development and deployment of machine learning models and AI solutions, ensuring scalability, performance, and maintainability.
• Monitor industry trends and emerging technologies, applying this knowledge to innovate and enhance our platform capabilities.
• Collaborate with cross-functional teams to ensure alignment between technical execution and business goals.
• Manage relationships with key stakeholders, acting as a bridge between our technical teams and external partners to ensure effective communication and alignment.
• Support proposal writing and collaborate with sales and marketing teams to ensure consistent and accurate communication using the right terms and language tailored to our target customers.
• Lead by example, actively contributing to the codebase, troubleshooting issues, and delivering high-quality solutions.
• Promote a positive and collaborative team environment across multiple geographies, developing strong working relationships.
• Ensure all AI solutions are developed following ethical guidelines and data governance standards, promoting transparency, fairness, and accountability.
• Bachelor's degree in Computer Science (or related field) or equivalent professional experience. Preferably Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
• 7+ years of development experience, with a strong focus on AI and machine learning. Out of which 4+ years of experience in AI engineering or machine learning roles, with a strong focus on deploying models in production environments.
• Experience in leading AI R&D efforts, from ideation to deployment of AI models and solutions.
• Advanced programming skills in Python, R, or similar languages, with experience in developing and deploying AI models.
• Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Proven experience in application integration and development with Large Language Models and Generative AI (e.g., OpenAI ChatGPT, Claude, LLAMA, Vicuna, Dall-E, Stable Diffusion, etc.).
• Proven ability to apply advanced AI techniques, such as deep learning, reinforcement learning, and neural networks.
• Excellent problem-solving, analytical, and critical-thinking skills.
• Experience with cloud platforms (e.g. AWS, Azure, GCP) and containerisation tools (e.g. Docker, Kubernetes).
• Strong track record of working effectively in distributed team environments across multiple geographies.
• Experience leading cross-functional teams and driving AI projects from inception to deployment.
• Experience in developing AI agents, with a portfolio of relevant projects.
• Strong communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Familiarity with the challenges and opportunities of the telecom, infrastructure, and analytics industries.
• Willingness to travel as business requires; all business-related travel will be sponsored by the company.
• Knowledge in mathematics, statistics, calculus, and physics.
• Experience with AI-driven solutions for infrastructure, telecom, or analytics industries.
• Previous experience in a startup or high-growth environment.

• A leader and doer with a hands-on approach, who leads by example and is not afraid to dive into the technical details.
• Passion for our mission and vision, with a strong interest in AI, big data, and infrastructure.
• Someone who thrives in a startup environment, particularly in companies at the Series A stage or beyond, and is excited about creating change and leaving a mark.
• A strategic thinker who is also action-oriented, with a strong internal drive to innovate and build impactful solutions.
• Passionate about understanding customer needs and translating them into effective platform solutions.
• Able to work seamlessly with internal teams and external stakeholders to drive platform development.
• Capable of anticipating industry trends and integrating them into our platform roadmap.
• Skilled at articulating complex ideas clearly and convincingly to diverse audiences.
• Comfortable in a fast-paced, evolving environment and able to manage multiple priorities effectively.

• Shares and Equity: Participate in our Employee Stock Option Plan (ESOP) and have a real stake in our company’s success.
• Growth Opportunities: Access to sponsored courses, certifications, and continuous learning opportunities to help you advance your skills and career.
• Comprehensive Benefits: Health insurance, pension contributions, and additional support for your well-being and professional development.
• Paid Travel Benefits: One paid round trip per year to your home country and all business-related travel covered by the company.
• Annual Vacation: Generous paid annual leave to recharge and relax.
• Dynamic Work Environment: A culture that fosters innovation, collaboration, and the freedom to explore and experiment with new ideas.
• Impact and Ownership: The opportunity to be a leader and a doer, shaping the future of digital infrastructure while leaving your mark on the world.
• Flexible Work Arrangements: Options to work remotely or from our offices, ensuring you have the flexibility to balance your personal and professional life.
• A Mission-Driven Team: Join a passionate, diverse group of individuals dedicated to creating meaningful change in the infrastructure and analytics industry.

• Shape the future of digital ecosystems: Be part of a team that's redefining digital ecosystems management to make it intelligent, adaptive, and capable of supporting future demands.
• Innovate for impact: Work on cutting-edge technologies like AI, IoT, and data analytics to address real-world challenges in infrastructure.
• Empower smart cities: Contribute to building the foundation for cognitive cities - urban environments that are resilient, efficient, and adaptable.
• Grow with us: Join a dynamic, mission-driven team that values collaboration, innovation, and growth. We are committed to creating a workplace where you can thrive, learn, and make a meaningful impact.

Now is the perfect time to join Byanat. We are positioned at the intersection of an unprecedented market opportunity, driven by four key trends:

• Explosive Infrastructure Growth: The MENA region is experiencing unparalleled expansion, with the population set to double and rapid urbanisation underway. Smart-city investments in MENA countries like Saudi Arabia are projected to grow from $10 billion in 2017 to over $0 billion by 2030. Byanat is uniquely positioned to lead this growth with innovative solutions that support these smart-city initiatives.
• Technology Growth: We are witnessing the maturity and convergence of transformative technologies like AI, 5G, IoT, and next-gen semiconductors, which are enabling intelligent connectivity like never before. This technological evolution presents a prime opportunity for Byanat's cutting-edge analytics solutions to make a significant impact in the infrastructure space.
• Regulatory Growth: National mandates and strategies, such as Saudi Arabia's Electricity & Co-generation Regulatory Authority, SDAIA smart city initiatives for Saudi Vision 2030, and Qatar's Smart City Strategy for Qatar Vision 2030, are driving the deployment of advanced technologies in critical infrastructure. Byanat is poised to be an essential partner in helping these regions achieve compliance and innovation.
• Investment Growth: Significant investments in infrastructure are ramping up, such as Saudi Arabia's launch of the National Infrastructure Fund, which highlights the government's commitment to critical infrastructure development. Globally, the trend is evident in moves like BlackRock's acquisition of Global Infrastructure Partners for 12.5 billion, signalling that the time to act in this space is now. By joining Byanat, you become part of a movement that is gaining unstoppable momentum.

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

• Bachelor's degree in Computer Science or a related field.
• 1-2 years of experience in data analysis or data engineering.

Skills / Knowledge:

• Familiarity with programming languages like Python, R, or SQL.
• Solid understanding of statistical and machine learning concepts.
• Strong problem-solving and analytical skills.
• Excellent data visualization and presentation skills.
• Excellent communication and technical documentation abilities.
• Strong leadership and mentoring abilities.
• Ability to work collaboratively and learn quickly.
• Well-developed interpersonal skills and excellent communications skills in English.
• Respect & Integrity
• Problem Solving & Decision Making

The Junior Data Science Engineer supports data analysis projects by building and maintaining models, pipelines, and tools under the guidance of senior team members.

• Assist in designing, developing, and implementing advanced data models and predictive analytics to solve business problems and drive decision-making.
• Build, maintain, and optimize scalable and efficient data pipelines to facilitate seamless data integration and processing across the organization.
• Conduct comprehensive exploratory data analysis to uncover insights, trends, and patterns, and present findings in a clear and actionable manner.
• Support the implementation and optimization of machine learning algorithms, ensuring they meet performance, accuracy, and scalability requirements.
• Work closely with cross-functional teams, including business stakeholders and senior data scientists, to understand requirements and deliver tailored data-driven solutions.
• Develop and maintain thorough documentation of data processes, models, and methodologies to ensure reproducibility and transparency.
• Prepare detailed reports and dashboards to communicate insights and progress to stakeholders.
• Stay up-to-date with emerging trends, tools, and methodologies in data science and analytics.
• Actively contribute to improving teamwork flows and adopting innovative approaches to solving challenges.

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

Overview

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About The Role

If you're a professional who works with AI Data Annotation and are friendly with LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project.

This is a freelance role for a project, and your typical tasks may include:

• Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses.
• Perform fact-checking and intent verification to ensure AI responses align with the user's goals.
• Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers.
• Provide structured feedback on AI-generated content to help improve model performance.
• Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them.
• Prompt generation with a purpose to receive the best quality result of LLMs.

How To Get Started

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.

Requirements

• You are currently enrolled in or have completed a Bachelor's degree or higher.
• You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity.
• You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail.
• Your level of English is upper-intermediate (B2) or above.
• You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
• Our freelance role is fully remote so you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.

Benefits

Why this freelance opportunity might be a great fit for you?

• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
• Work on advanced AI projects and gain valuable experience that enhances your portfolio.
• Influence how future AI models understand and communicate in your field of expertise.

• Internship

• Part-time

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• IT Services and IT Consulting

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SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals
• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning
• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights
• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency
• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges
• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies
• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth
• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies
  
  

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams
• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)
• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies
• Proven track record of successfully leading and delivering large-scale data science projects that drive business value
• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses
• Strong project management skills and ability to lead teams in a fast-paced environment
• Excellent analytical and strategic thinking skills, with a focus on results
• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer