mechanical engineer

senior mep engineer

service engineer

ai ml engineer

Nets-international Communication

NETS International Group is seeking a highly skilled AI/ML Engineer to join our innovation and analytics division. The ideal candidate will have strong expertise in machine learning, data science, and AI model deployment, with the ability to design, train, and optimize predictive systems that deliver measurable impact.This role involves working closely with data engineers, software developers, and cloud architects to integrate AI-driven solutions into scalable enterprise applications using modern frameworks, cloud services, and MLOps practices.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models and AI-based solutions for predictive analytics, automation, and decision support.</li><li>Perform data preprocessing, feature engineering, and model evaluation using statistical and deep learning techniques.</li><li>Implement models using Python frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.</li><li>Collaborate with data engineers to build and maintain data pipelines for training and inference.</li><li>Integrate AI models into production environments using APIs, containers, and cloud-based services (AWS Sagemaker, Azure ML, or Google AI Platform).</li><li>Work with large datasets from diverse sources &mdash; structured, unstructured, and streaming &mdash; ensuring data quality and security.</li><li>Develop and optimize MLOps pipelines for continuous training, deployment, and monitoring of machine learning models.</li><li>Conduct research and experimentation to evaluate new AI techniques and frameworks that can enhance enterprise systems.</li><li>Collaborate cross-functionally with business and technical teams to translate requirements into actionable AI/ML solutions.</li><li>Ensure model explainability, fairness, and compliance with company and industry standards.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>Proven experience (3+ years) in machine learning, AI model development, and data analytics.</li><li>Proficiency in Python, with strong knowledge of libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Keras.</li><li>Strong understanding of data preprocessing, model selection, feature engineering, and evaluation metrics.</li><li>Experience with SQL and NoSQL databases (MySQL, MongoDB, PostgreSQL, etc.).</li><li>Hands-on experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP AI Platform).</li><li>Familiarity with DevOps/MLOps tools (Docker, Kubernetes, MLflow, or Kubeflow) for scalable deployment.</li><li>Good grasp of statistics, probability, linear algebra, and data visualization tools (Matplotlib, Seaborn, Power BI).</li><li>Knowledge of Natural Language Processing (NLP), Computer Vision, or Generative AI is a strong plus.</li><li>Excellent problem-solving, analytical, and collaboration skills.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Muscat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary with currency?</li><li>what is your monthly expected salary with currency?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI ML: 4 years (Required)</li></ul>

AI ML Engineer

Job Summary We are looking for a skilled Data Center Engineer to join NETS International&rsquo;s dynamic infrastructure team. In this role you will ensure the high availability, performance and scalability of our data-centre operations while supporting advanced analytics, cloud services and machine learning initiatives.Key Responsibilities:<ul><li>Design, implement and maintain data centre infrastructure to deliver reliable, high-performance operations.</li><li>Collaborate with cross-functional teams to develop and deploy machine learning models using TensorFlow, R and Python.</li><li>Manage ETL workflows and database architecture for efficient data storage and access.</li><li>Leverage big-data technologies such as Hadoop and Spark for large-scale data processing and analytics.</li><li>Conduct data mining and analysis using SQL, SAS and analytics tools to derive actionable insights.</li><li>Apply AI and NLP techniques to enhance operational efficiency and decision-making.</li><li>Oversee ML model training, deployment and monitoring for continuous improvement.</li><li>Work with linked-data/integration frameworks to unify disparate datasets for robust analytics.</li><li>Use programming/scripting languages (Java, C, VBA, Bash) for automation, operational support and custom solutions.</li><li>Support emerging quantum-engineering initiatives by applying advanced computational techniques where relevant.</li></ul>Required Skills &amp; Qualifications:<ul><li>Proficient in AWS cloud services and infrastructure management.</li><li>Strong understanding of machine learning frameworks (TensorFlow, Spark, etc.).</li><li>Experience with unsupervised learning and other ML techniques.</li><li>Hands-on experience in ETL processes and tools (e.g., Talend) for data integration.</li><li>Solid knowledge of database design, SQL and relational database management.</li><li>Familiarity with big-data ecosystems (Hadoop, Spark).</li><li>Proficiency in programming languages: Python, Java, C, R, Bash/Unix shell, VBA.</li><li>Experience with analytics/visualisation tools (e.g., Looker).</li><li>Excellent problem-solving skills with focus on ML model deployment and optimisation.</li><li>A drive to innovate and apply cutting-edge technologies in a fast-moving environment.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Muscat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary?</li><li>What is your monthly expected salary?</li><li>What is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Data Center Engineer: 3 years (Required)</li></ul>

AI Data Center Engineer

Norconsult Telematics

<div>
 
 Posting Location: Muscat, Oman
 
 
 
 
 
 
 Position Objectives:
 
 
 <ul>
 <li>
 Assess the organization&rsquo;s AI readiness and conduct comprehensive maturity evaluations.
 </li>
 <li>
 Identify and prioritize applied AI/ML opportunities across key business domains.
 </li>
 <li>
 Translate organizational challenges into actionable and data-driven AI strategies.
 </li>
 <li>
 Support feasibility studies, ROI analysis, and pilot-level evaluations for AI use cases.
 </li>
 <li>
 Provide insights that guide the development of an enterprise-wide AI adoption roadmap.
 </li>
 <li>
 Strengthen AI governance, ethics, and responsible AI foundations within the organization.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI initiatives with strategic objectives.
 </li>
 <li>
 Facilitate knowledge transfer and ensure clear communication of AI concepts to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Job Description &amp; Responsibilities:
 
 
 <ul>
 <li>
 Conduct AI readiness and maturity assessments covering data, infrastructure, governance, and talent.
 </li>
 <li>
 Identify, analyze, and prioritize applied AI/ML opportunities across organizational functions.
 </li>
 <li>
 Translate business challenges into feasible AI use cases with measurable value and clear outcomes.
 </li>
 <li>
 Perform preliminary research, feasibility studies, and ROI assessments for proposed AI initiatives.
 </li>
 <li>
 Support the design of AI opportunity scoring models and prioritization frameworks.
 </li>
 <li>
 Prepare detailed reports, presentations, and recommendations for leadership and stakeholder review.
 </li>
 <li>
 Work with cross-functional teams to validate use cases and guide early-stage prototyping or pilot evaluations.
 </li>
 <li>
 Advise on AI governance, responsible AI principles, and compliance considerations.
 </li>
 <li>
 Provide conceptual guidance on data preparation, feature analysis, and model evaluation steps.
 </li>
 <li>
 Monitor emerging AI trends&mdash;including GenAI, Agentic AI, and multimodal AI&mdash;to inform strategic decisions.
 </li>
 <li>
 Contribute to the development of the organizational AI roadmap and transformation plans.
 </li>
 <li>
 Engage stakeholders to ensure alignment, clarity, and buy-in on AI initiatives.
 </li>
 <li>
 Support knowledge transfer, capacity building, and AI awareness programs within the organization.
 </li>
 </ul>
 
 
 
 
 
 Qualification &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
 </li>
 <li>
 Minimum 6+ years of experience in AI/ML analysis, strategy, consulting, or advisory roles.
 </li>
 <li>
 Proven experience in identifying, evaluating, and prioritizing AI/ML use cases across business domains.
 </li>
 <li>
 Exposure to digital transformation programs with a focus on AI, data, or analytics components.
 </li>
 <li>
 Familiarity with Responsible AI principles, ethical AI frameworks, and data governance practices.
 </li>
 <li>
 Conceptual understanding of data preparation, feature engineering, and model evaluation methodologies.
 </li>
 <li>
 Ability to conduct feasibility studies and assess ROI for applied AI initiatives.
 </li>
 <li>
 Strong analytical, documentation, and presentation skills for communicating insights to stakeholders.
 </li>
 <li>
 Certifications in AI/ML, Data Science, Cloud AI, or Responsible AI (AWS, Azure, Google, Coursera, etc.).
 </li>
 <li>
 Participation in workshops or training programs related to AI strategy, governance, or ethics.
 </li>
 <li>
 Excellent command of English is mandatory, while knowledge of Arabic is considered an advantage.
 </li>
 </ul>
</div>

Domain Specialist (AI/ML)

Petroleum Development Oman

<div>
 
 Job Description
 
 
 
 About the Company
 
 
 Our People Create Competitive and Responsible Hydrocarbon Growth to Maximise Value for Oman
 
 
 Purpose of the Job
 
 
 To lead the AI Center of Excellence, driving the exploration, development, and deployment of artificial intelligence solutions that enhance operational efficiency, enable intelligent automation, and support strategic innovation across the organization.
 
 
 This role is critical in fostering a culture of experimentation, ensuring ethical AI practices, and delivering scalable prototypes aligned with business needs and the 2040 vision.
 
 
 To lead the AI Center of Excellence, driving the exploration, development, and deployment of artificial intelligence solutions that enhance operational efficiency, enable intelligent automation, and support strategic innovation across the organization.
 
 
 This role is critical in fostering a culture of experimentation, ensuring ethical AI practices, and delivering scalable prototypes aligned with business needs and the 2040 vision.
 
 
 Education &amp; Experience
 
 
 
 Experience/Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field; Master&rsquo;s preferred.
 </li>
 <li>
 Minimum 10 years of experience in AI/ML development and deployment, with 3+ years in a leadership role.
 </li>
 <li>
 Proven experience in building and scaling AI models and platforms.
 </li>
 <li>
 Strong understanding of AI frameworks such as TensorFlow, PyTorch, and cloud-based AI services.
 </li>
 <li>
 Experience in managing cross-functional teams and external partnerships.
 </li>
 <li>
 Relevant certifications in AI, machine learning, or technology leadership are highly desirable.
 
 
 </li>
 </ul>
 Main Responsibilities
 
 
 
 Principal Accountabilities
 
 
 
 Lead the
 
 design, development, and implementation
 
 of AI solutions aligned with business objectives.
 
 
 Establish
 
 AI standards, toolkits, and best practices
 
 to ensure consistent quality and scalability.
 
 
 Collaborate with business units to
 
 identify and prototype
 
 high-impact AI use cases.
 
 
 Promote
 
 ethical, transparent, and secure
 
 AI practices through governance frameworks.
 
 
 Continuously
 
 monitor, evaluate, and optimize
 
 model performance for accuracy and efficiency.
 
 
 Enhance internal capability through
 
 training, mentorship, and knowledge sharing
 
 .
 
 
 Forge
 
 strategic partnerships
 
 with academia, vendors, and startups to track emerging AI trends.
 
 
 Drive
 
 AI awareness and adoption
 
 via engagement and communication programs.
 
 
 Integrate AI solutions within the
 
 enterprise architecture and data ecosystems
 
 .
 
 
 Define and monitor
 
 KPIs
 
 to measure AI value and report progress to leadership.
 
 
 
 Key Skills
 
 
 
 Expertise in
 
 innovation management, design thinking
 
 , and
 
 lean startup
 
 principles.
 
 
 Strong
 
 facilitation and stakeholder management
 
 abilities for ideation and collaboration.
 
 
 Proficiency in
 
 machine learning, deep learning, and NLP
 
 , with advanced
 
 Python
 
 and AI frameworks.
 
 
 Capability to
 
 translate business needs into AI-driven solutions
 
 and manage innovation portfolios.
 
 
 Experienced in
 
 project management, agile delivery
 
 , and strategic innovation leadership.
 
 
 
 Challenges
 
 
 
 Maintaining
 
 scalability, data integrity
 
 , and compliance with ethical standards.
 
 
 Encouraging
 
 AI adoption
 
 across diverse units while balancing innovation, resources, and rapid technological change.
 
 
 
 Skills Required
 
 
 
 Other Job Details
</div>

Dgt.AI Innovation Head (Four Years Contract)

<div>
 
 Posting Location: Muscat, Oman
 
 
 
 
 
 
 Position Objectives:
 
 
 <ul>
 <li>
 Assess the organization&rsquo;s readiness and maturity for adopting IoT technologies using structured frameworks and scorecards.
 </li>
 <li>
 Identify high-impact IoT opportunities aligned with strategic, operational, and security objectives.
 </li>
 <li>
 Conduct ROI analysis, capability mapping, and technology benchmarking to determine feasibility and value.
 </li>
 <li>
 Evaluate existing systems to identify integration needs, interoperability gaps, and potential enhancements.
 </li>
 <li>
 Ensure all IoT recommendations comply with security, data governance, and sustainability standards.
 </li>
 <li>
 Support the development of enterprise-wide IoT adoption strategies and transformation roadmaps.
 </li>
 <li>
 Provide clear, business-focused insights that guide decision-making for IoT implementations.
 </li>
 <li>
 Collaborate with cross-functional teams to align IoT initiatives with AI, data, and digital transformation goals.
 </li>
 </ul>
 
 
 
 
 
 Job Description &amp; Responsibilities:
 
 
 <ul>
 <li>
 Conduct IoT maturity, readiness, and capability assessments using standardized scorecards and evaluation frameworks.
 </li>
 <li>
 Analyze IoT use cases based on feasibility, performance, ROI, scalability, and alignment with business priorities.
 </li>
 <li>
 Map existing device, edge, and cloud ecosystems to identify gaps and enhancement opportunities.
 </li>
 <li>
 Evaluate IoT architectures including device-to-cloud connectivity, edge processing, and hybrid models.
 </li>
 <li>
 Assess data ingestion, processing, integration, and governance practices for IoT-generated data streams.
 </li>
 <li>
 Prepare detailed assessment reports, technology benchmarking studies, and impact analysis documentation.
 </li>
 <li>
 Review IoT communication protocols such as MQTT, LoRaWAN, OPC-UA, Modbus, and cellular IoT standards.
 </li>
 <li>
 Provide recommendations on IoT security, compliance, interoperability, and lifecycle management.
 </li>
 <li>
 Support teams in designing or validating IoT solutions for smart infrastructure and public-sector initiatives.
 </li>
 <li>
 Collaborate with AI/ML teams to identify opportunities for analytics or automation using IoT data.
 </li>
 <li>
 Participate in stakeholder workshops, requirement-gathering sessions, and capability-building activities.
 </li>
 <li>
 Ensure recommendations consider sustainability, cost-effectiveness, and long-term maintainability.
 </li>
 <li>
 Track global IoT trends, standards, and frameworks to ensure alignment with industry best practices.
 </li>
 </ul>
 
 
 
 
 
 Qualification &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Electronics, Telecommunications, or a related technical field.
 </li>
 <li>
 6+ years of experience in IoT consulting, technology assessment, or enterprise IoT strategy roles.
 </li>
 <li>
 Proven experience conducting IoT readiness, maturity, or capability assessments using structured scorecards or frameworks.
 </li>
 <li>
 Hands-on exposure to IoT ecosystems, including sensors, edge devices, connectivity protocols, and cloud/edge integrations.
 </li>
 <li>
 Demonstrated capability in evaluating IoT use cases, analyzing ROI, performance metrics, and operational impact.
 </li>
 <li>
 Familiarity with IoT data workflows, including data collection, integration, processing, and governance.
 </li>
 <li>
 Working knowledge of IoT security practices, device management, and interoperability standards.
 </li>
 <li>
 Experience preparing technology evaluation reports, benchmarking studies, and impact assessments.
 </li>
 <li>
 Exposure to IoT platforms such as Azure IoT, AWS IoT, or private edge computing solutions is preferred.
 </li>
 <li>
 Understanding of public-sector IoT applications, smart infrastructure, or large-scale digital transformation initiatives is an advantage.
 </li>
 <li>
 Certifications: Microsoft Certified: Azure IoT Developer / Architect | AWS IoT Core Practitioner | IoT Security Certification
 </li>
 <li>
 Excellent command of English is mandatory, while knowledge of Arabic is considered an advantage.
 </li>
 </ul>
</div>

Domain Specialist - IoT

<div>
 
 Job Posting Location: Muscat, Oman
 
 
 
 
 
 
 Position Objectives:
 
 
 <ul>
 <li>
 Ensure all AI and advanced technology initiatives adhere to ethical, privacy, and governance standards.
 </li>
 <li>
 Establish and maintain frameworks that support responsible and compliant AI innovation.
 </li>
 <li>
 Develop policies, guidelines, and review mechanisms for technology governance.
 </li>
 <li>
 Oversee ethical risk assessments and impact analyses for AI and emerging technologies.
 </li>
 <li>
 Ensure alignment with data protection regulations and global AI governance standards.
 </li>
 <li>
 Drive sustainability considerations in AI and technology decision-making.
 </li>
 <li>
 Provide expert guidance to internal teams on ethics, privacy, and responsible tech adoption.
 </li>
 <li>
 Facilitate transparent, accountable, and compliant technology practices across the organization.
 </li>
 </ul>
 
 
 
 
 
 Job Descriptions &amp; Responsibilities:
 
 
 <ul>
 <li>
 Review AI and advanced technology initiatives for ethics, privacy compliance, and sustainability.
 </li>
 <li>
 Develop and update policies, frameworks, and guidelines for AI governance and data privacy.
 </li>
 <li>
 Conduct AI risk assessments, impact studies, and mitigation planning.
 </li>
 <li>
 Prepare and submit Technology Ethics Assessment Reports and compliance documentation.
 </li>
 <li>
 Collaborate with Legal, IT, Innovation, and Security teams to ensure unified governance practices.
 </li>
 <li>
 Monitor adherence to data privacy regulations (GDPR, ISO 27701, NDMO).
 </li>
 <li>
 Ensure alignment with AI governance standards such as ISO 42001, EU AI Act, and OECD principles.
 </li>
 <li>
 Support governance and ethics committees with expert evaluation of new technologies.
 </li>
 <li>
 Design and implement compliance and assurance plans for ongoing projects.
 </li>
 <li>
 Develop continuous monitoring mechanisms for responsible AI implementation.
 </li>
 <li>
 Provide guidance on ethical concerns, sustainability considerations, and technology transparency.
 </li>
 <li>
 Engage stakeholders to communicate risks, governance requirements, and policy expectations.
 </li>
 <li>
 Draft reports, documentation, and recommendations for leadership review.
 </li>
 <li>
 Identify gaps in existing governance processes and propose corrective actions.
 </li>
 <li>
 Promote awareness and understanding of responsible AI practices across the organization.
 </li>
 </ul>
 
 
 
 
 
 Qualification &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Information Security, Data Management, AI Ethics, Computer Science, or a related field.
 </li>
 <li>
 Minimum 8+ years in data privacy, AI governance, technology ethics, or similar consulting roles.
 </li>
 <li>
 Experience advising on AI, digital transformation, or high-impact technology programs.
 </li>
 <li>
 Strong exposure to government, public-sector, or regulated industry compliance frameworks.
 </li>
 <li>
 Demonstrated ability to develop governance structures, policies, and assurance plans.
 </li>
 <li>
 Experience conducting ethical impact assessments and privacy evaluations.
 </li>
 <li>
 Certification : ISO 42001 (AI Management System) | CIPP/E or CIPM &ndash; Certified Data Privacy Professional | ISO 27001 Lead Auditor / Implementer | Responsible AI / AI Ethics Certification
 </li>
 <li>
 Excellent command of English is mandatory, while knowledge of Arabic is considered an advantage.
 </li>
 </ul>
</div>

Consultant - Data Privacy, Governance & Security

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder led, profitable and growing.
 
 
 We are hiring engineers to work across the breadth of our Ubuntu Engineering organisation - engineers who care deeply for quality, performance and resilience in software, engineers who are just as comfortable with designing and engineering new software as they are with packaging, integrating, testing and shipping the incredible catalog of open source software provided by the Ubuntu repositories.
 
 
 Our engineers integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world's most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments.
 
 
 The four key teams that ship Ubuntu are:
 
 
 <ul>
 <li>
 
 Foundations
 
 : maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities
 </li>
 <li>
 
 Server:
 
 leading the design, evolution and future of our Ubuntu Server distribution
 </li>
 <li>
 
 Desktop:
 
 driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter
 </li>
 <li>
 
 Debcrafters:
 
 a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today
 
 
 </li>
 </ul>
 Bring your existing expertise and learn new skills by working on one of the most prolific pieces of open source software. As an engineer working on Ubuntu you could work on any or all of the following categories:
 
 
 <ul>
 <li>
 
 Development
 
 : design, build and ship new foundational systems software and applications in Rust, Go, Flutter, and Python
 </li>
 <li>
 
 Architecture
 
 : engineer the integration of open source from boot firmware to cloud applications deployment
 </li>
 <li>
 
 Packaging
 
 : a combination of Debian and Snap packaging to ship software in the distribution
 </li>
 <li>
 
 Automation
 
 : build and maintain the machinery responsible for building, testing and shipping Ubuntu
 </li>
 <li>
 
 Distro Engineering
 
 : the maintenance and evolution of a Linux distribution and its repositories
 
 
 </li>
 </ul>
 This application track is suitable for those at the mid point in their career but perhaps not quite at the Manager/Lead level, with relevant skills to contribute to Ubuntu.
 
 
 At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies.
 
 
 
 Location
 
 : We have remote roles open in every time zone.
 
 
 
 The role entails
 
 
 
 Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our engineers are:
 
 
 <ul>
 <li>
 Designing, building and shipping software in Rust, Go and Python
 </li>
 <li>
 Packaging, integrating, testing and uploading open source software to the Ubuntu repositories
 </li>
 <li>
 Debugging system-level issues and delivering robust solutions
 </li>
 <li>
 Authoring and improving technical and community documentation
 </li>
 <li>
 Contributing to upstream and neighboring open source projects
 </li>
 <li>
 Collaborating as part of a globally distributed team
 </li>
 <li>
 Mentoring their colleagues to build skills and understanding
 </li>
 <li>
 Developing and improving processes to more efficiently fulfill our goals
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 An exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
 </li>
 <li>
 Drive and a track record of going above and beyond expectations
 </li>
 <li>
 A demonstrated passion for open source software
 </li>
 <li>
 Significant experience with Rust, Go, Python, Flutter or C/C++
 </li>
 <li>
 Professional written and spoken English
 </li>
 <li>
 Excellent communication and interpersonal skills
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks each
 
 
 </li>
 </ul>
 
 Nice-to-have skills
 
 
 
 <ul>
 <li>
 Experience with Linux distributions and distribution engineering
 </li>
 <li>
 Experience with software packaging and distribution mechanisms
 </li>
 <li>
 Understanding of build systems and toolchains, including for cross-compilation
 </li>
 <li>
 Performance or Security Engineering experience
 
 
 </li>
 </ul>
 
 What we offer you
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Team Member Assistance Program &amp; Wellness Platform
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
</div>

Ubuntu Software Engineer

Explore 67+ Ai ml engineer in Muscat this November. Find roles across top companies and apply now to boost your career.