26 AI Internship jobs in Oman

We are building AI-native applications that transform messy, real-world data into actionable intelligence. This is a builder's role, you'll work on cutting-edge AI agents, LLM-based systems, and mission-critical applications that directly impact industries like energy, defense, finance, and sovereign data infrastructure.

We need someone who ships fast, learns faster, and thrives with minimal supervision.

• End-to-End AI Systems: Design and deploy AI solutions from prototype to production.
• AI Agents: Build multi-capable agents using state-of-the-art models (GPT-4.1/O3/O4, Claude Opus 4, Gemini).
• RAG Pipelines: Develop advanced Retrieval-Augmented Generation and semantic search workflows.
• LLM Tuning: Fine-tune and deploy open-source LLMs for specialized use cases.
• AI-Native Applications: Build integrations with modern AI developer tools (Cursor, Cline, Claude Code).
• Data Ops: Handle messy real-world data, ETL pipelines, embeddings, and retrieval systems.
• System Reliability: Optimize performance, ensure resilience, and deploy scalable AI-native infrastructure.

• 3 –8 years of proven experience in AI Applications / Systems Engineering / Data Infrastructure.
• Hands-on experience with LangChain, LangGraph, LlamaIndex or equivalent frameworks.
• Expertise with vector databases, embeddings, and semantic search.
• Experience managing real-world messy datasets and ETL workflows.
• Familiarity with Kubernetes, containerization, and cloud/on-prem deployment.
• Excellent communication skills (written & verbal).

Nice to Have

• Experience in multi-agent systems.
• Some background in risk analysis, defense systems, or energy infrastructure.
• Familiarity with AI observability, monitoring, and evaluation frameworks.

About Us

PhazeRo stands at the forefront of AI innovation, dedicated to bridging the gap between advanced technology and business solutions. We work across various sectors, such as Energy, Finance, and BioAI, to empower our clients with intelligent automation and data-driven insights. Our team is made up of visionary thinkers and expert engineers who are passionate about making a significant impact in the AI landscape.

Job Overview

We are seeking an experienced AI Engineer to join our dynamic team. In this role, you will design, implement, and maintain AI systems and applications that enhance our product offerings. You will be responsible for developing sophisticated algorithms, conducting research on state-of-the-art AI methodologies, and implementing solutions that drive efficiency and effectiveness within the business. Working with a collaborative team, you will play a key role in shaping the future of AI at PhazeRo.

Key Responsibilities

• 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.

Requirements

• 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.

Benefits

• 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.

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.

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.

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

Role Purpose
To manage and governing Business Process Management (Design, Improvement and Governance) , Automation requirements & AI use cases across Omantel. This role is key to ensure that AI & automation initiatives are aligned with business goals, delivering measurable value, and being effectively utilized by end-users.

Position Information

• Unit: Strategy and Innovation
• Division: Center of Excellence
• Location: Muscat
• Grade: P5
• Minimum role requirements:
• Qualifications: Bachelor's degree in relevant discipline.
• Experience: A minimum of 7 years' experience.

Key Accountabilities

• Fulfill Business Process demand across the entire organization in terms of Design and/or re-engineer, review and governance
• Gather & govern AI use cases across the entire organization
• Conduct research on emerging AI technologies, trends, and best practices. Analyze how these technologies can be applied to solve business problems.
• Analyze Business Process/ AI related requirements, along with consideration of its relevant supporting data and tracking records
• Identify, evaluate, and prioritize high impact AI use cases across business units.
• Lead proof-of-concept (PoC) initiatives, scaling successful projects into production.
• Work with business leaders & SPOCs to drive AI adoption and measurable business value.
• Identify pain areas, opportunities of improvement, in terms of time reduction, cost saving, waste elimination, without compromising quality
• Suggest opportunities for automation based on best industry practices, brainstorming discussions with unit SPOCs, stakeholders and available Business Process Repository information
• Ensure system adoption and benefit realization take place and report progress to management & CMT frequently.
• Monitor BOT performance & BPM flows and report the progress to CoE management on a weekly basis.
• Calculate the RoI for any process/ AI selected use cases then decide on best potential use cases.
• Conduct regular meetings with CoE & business SPOCs to ensure alignment & continuous engagement
• Continuously Monitor the organization's process & automation/ AI capabilities, identify gaps in both capabilities and resources and suggest improvements

The Role

We are seeking an experienced Al/ML Engineer with strong expertise in deploying and maintaining machine-learning services at scale. The ideal candidate will be responsible for running and enhancing our GPU-powered Al infrastructure, ensuring high performance as user demand grows, and integrating new models and pipelines. This is an urgent requirement — candidates must be ready to join within 15 days. Responsibilities
•Deploy, monitor and maintain production AI/ML services on GPU servers (RunPod).
•Scale GPU infrastructure and load-balancing to meet growing user demand; implement autoscaling and cost controls.
•Optimize inference speed and reliability through batching, quantization, caching and other performance techniques.
•Integrate AI models into existing services as required.
•Enhance our current AI model.
•Build and maintain asynchronous processing and queue systems (Celery/Redis or equivalent).
•Implement safety filters and other guardrails around model outputs.
•Ensure zero-touch operations: automatic startup, model pre-loading, health checks, alerts and automated restarts.
•Expose clean API endpoints and work closely with backend developer for seamless integration with the main application.
•Maintain dashboards for GPU usage, latency, error rates and alerting.
•Document all infrastructure, deployment processes and enhancements clearly for handover and future scaling.

Requirements

Requirements
•2+ years of experience deploying machine-learning models into production environments.
•Strong Python skills and experience with PyTorch/TensorFlow or similar frameworks.
•Proven experience with GPU-based inference, performance tuning and cost optimisation.
•Familiarity with containerisation (Docker) and orchestration (Kubernetes or similar).
•Knowledge of queueing systems and asynchronous processing (Celery/Redis, RabbitMQ, etc.).
•Experience integrating multiple model types into APIs is a plus.
•Proficiency with cloud platforms or specialised GPU providers (RunPod, Lambda, AWS, GCP, Azure).
•Understanding of monitoring and observability tools (Prometheus, Grafana, ELK, etc.).
•Version control (Git/GitHub) and CI/CD familiarity.
•Ability to work independently and take full responsibility of the AI/ML infrastructure in production.

About the company

Hike Tech LLC is an Oman-based technology company dedicated to the creation and management of innovative digital platforms. We are dedicated to building, launching and managing high-quality digital products for users worldwide.