5 AI & Emerging Technologies jobs in Oman

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Canonical

Posted 6 days ago

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Job Description

workfromhome

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 1000+ colleagues in 70+ countries and very few roles based in offices. 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 Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

  • Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
  • Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
  • Master distributed systems concepts such as observability, identity, tracing
  • Work with both Kubernetes and machine-oriented open source applications
  • Collaborate proactively with a distributed team of engineers, designers and product managers
  • Debug issues and interact in public with upstream and Ubuntu communities
  • Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

  • Professional or academic software delivery using Python
  • Exceptional academic track record from both high school and university
  • Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
  • Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
  • Track record of going above-and-beyond expectations to achieve outstanding results
  • Passion for technology evidenced by personal projects and initiatives
  • The work ethic and confidence to shine alongside motivated colleagues
  • Professional written and spoken English with excellent presentation skills
  • Experience with Linux (Debian or Ubuntu preferred)
  • Excellent interpersonal skills, curiosity, flexibility, and accountability
  • Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
  • Thoughtfulness and self-motivation
  • Result-oriented, with a personal drive to meet commitments
  • Ability to travel twice a year, for company events up to two weeks long

Additional skills that would be nice to have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

  • Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
  • Hands-on experience with machine learning libraries, or tools.
  • Experience with container technologies (Docker, LXD, Kubernetes, etc.)
  • Experience with public clouds (AWS, Azure, Google Cloud)
  • Working knowledge of cloud computing
  • Passionate about software quality and testing
  • Experience working on an open source project

What we offer colleagues

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 recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. 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.

  • Distributed work environment with twice-yearly team sprints in person
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues
  • Priority Pass, and travel upgrades for long haul company events

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 of software. 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. Most colleagues at Canonical have worked from home 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.

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This advertiser has chosen not to accept applicants from your region.

Lead AI & Engineering

Muscat, Muscat Byanat

Posted 20 days ago

Job Viewed

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Job Description

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.

Key responsibilities
  • 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.
What we're looking for
  • 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.
Benefits & rewards
  • 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.
The information you provide in this form will be used by Byanat to evaluate and respond to your enquiry. Your data will not be shared, sold, or disclosed to any third parties outside Byanat, unless required by law. By submitting this form, you consent to the processing of your information in accordance with Byanat's Privacy Policy.Why join Byanat?
  • 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.
TagHeading Heading Why join Byanat now?

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.
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AI Engineer (Specializing in NLP)

Muscat, Muscat OSOS

Posted 20 days ago

Job Viewed

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Job Description

About the job AI Engineer (Specializing in NLP)

Job Summary

We are seeking an AI Engineer with expertise in Natural Language Processing (NLP) and experience in fine-tuning Large Language Models (LLMs). The ideal candidate will have a strong background in Python programming and a minimum of 2 years of experience working with LLMs. This role involves hands-on development of 5-10 business use cases that enhance user experiences and drive business efficiency.

Responsibilities

  • Develop and fine-tune Large Language Models (LLMs) to improve performance in NLP tasks.
  • Design and implement NLP solutions to address specific business needs.
  • Collaborate with cross-functional teams to identify and prioritize business use cases for NLP applications.
  • Create and deploy machine learning models to streamline routine business operations and deliver value to users.
  • Stay up-to-date with industry trends and advancements in NLP and LLM technologies.

Requirements

  • Proficiency in Python programming.
  • Experience in fine-tuning Large Language Models (LLMs).
  • Hands-on experience in developing 5-10 business use cases that deliver measurable value.
  • Strong understanding of Natural Language Processing (NLP) principles and techniques.
  • Ability to work independently and collaboratively as part of a team.
  • Excellent communication and problem-solving skills.

Experience

  • Minimum of 2 years of experience in Python programming and working with LLMs.
  • Demonstrated experience in developing practical NLP solutions for business use cases.

Education

  • Bachelors or Masters degree in Computer Science, Engineering, or a related field.
  • Additional certifications in AI, NLP, or related fields are a plus.

Language

  • Fluent in English / Arabic Speaker (prefer Omani National)
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AI Application Developer

Bima

Posted 26 days ago

Job Viewed

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Job Description

Job Description :

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

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Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Muscat, Muscat Canonical

Posted 7 days ago

Job Viewed

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Job Description

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 1000+ colleagues in 70+ countries and very few roles based in offices. 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 Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

  • Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
  • Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
  • Master distributed systems concepts such as observability, identity, tracing
  • Work with both Kubernetes and machine-oriented open source applications
  • Collaborate proactively with a distributed team of engineers, designers and product managers
  • Debug issues and interact in public with upstream and Ubuntu communities
  • Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

  • Professional or academic software delivery using Python
  • Exceptional academic track record from both high school and university
  • Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
  • Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
  • Track record of going above-and-beyond expectations to achieve outstanding results
  • Passion for technology evidenced by personal projects and initiatives
  • The work ethic and confidence to shine alongside motivated colleagues
  • Professional written and spoken English with excellent presentation skills
  • Experience with Linux (Debian or Ubuntu preferred)
  • Excellent interpersonal skills, curiosity, flexibility, and accountability
  • Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
  • Thoughtfulness and self-motivation
  • Result-oriented, with a personal drive to meet commitments
  • Ability to travel twice a year, for company events up to two weeks long

Additional skills that would be nice to have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

  • Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
  • Hands-on experience with machine learning libraries, or tools.
  • Experience with container technologies (Docker, LXD, Kubernetes, etc.)
  • Experience with public clouds (AWS, Azure, Google Cloud)
  • Working knowledge of cloud computing
  • Passionate about software quality and testing
  • Experience working on an open source project

What we offer colleagues

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 recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. 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.

  • Distributed work environment with twice-yearly team sprints in person
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues
  • Priority Pass, and travel upgrades for long haul company events

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 of software. 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. Most colleagues at Canonical have worked from home 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.

This advertiser has chosen not to accept applicants from your region.
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