4 AI Software Engineer jobs in Oman
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
Posted 10 days ago
Job Viewed
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
- 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
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
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
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.
#J-18808-Ljbffr
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
Posted 10 days ago
Job Viewed
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
- 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
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
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
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.
Machine Learning Engineer
Posted 7 days ago
Job Viewed
Job Description
At PhazeRo, we are paving the way for businesses to harness the transformative power of data. As a leading data science consultancy, we provide innovative solutions that drive measurable results across numerous industries, including (Renewable) Energy, Finance, Telecoms and BioAI. Our team thrives on creativity and technical excellence, and we are dedicated to fostering an inclusive and collaborative work environment.
Position Overview
We are looking for a skilled Machine Learning Engineer to join our talented team. In this role, you will design, implement, and optimize machine learning models that address complex business challenges. You will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into our existing systems and create scalable architectures. Your contributions will help enhance our products and drive data-informed decisions across the organization.
Key Responsibilities
- Develop scalable machine learning models and algorithms to solve specific business problems
- Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications
- Implement and optimize model deployment pipelines for production environments
- Evaluate model performance and iterate on designs to enhance accuracy and efficiency
- Research and stay current with the latest advancements in machine learning and artificial intelligence
- Document processes and communicate results effectively to stakeholders
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- 2+ years of experience in machine learning, data science, or related roles
- Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop)
- Experience in model evaluation metrics and techniques for model validation
- Strong problem-solving skills and the ability to work independently
- Excellent communication skills and a collaborative approach to work
- Passion for machine learning and eagerness to stay updated with industry trends
- 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
Machine Learning Engineer
Posted 7 days ago
Job Viewed
Job Description
At PhazeRo, we are paving the way for businesses to harness the transformative power of data. As a leading data science consultancy, we provide innovative solutions that drive measurable results across numerous industries, including (Renewable) Energy, Finance, Telecoms and BioAI. Our team thrives on creativity and technical excellence, and we are dedicated to fostering an inclusive and collaborative work environment.
Position Overview
We are looking for a skilled Machine Learning Engineer to join our talented team. In this role, you will design, implement, and optimize machine learning models that address complex business challenges. You will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into our existing systems and create scalable architectures. Your contributions will help enhance our products and drive data-informed decisions across the organization.
Key Responsibilities
- Develop scalable machine learning models and algorithms to solve specific business problems
- Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications
- Implement and optimize model deployment pipelines for production environments
- Evaluate model performance and iterate on designs to enhance accuracy and efficiency
- Research and stay current with the latest advancements in machine learning and artificial intelligence
- Document processes and communicate results effectively to stakeholders
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- 2+ years of experience in machine learning, data science, or related roles
- Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop)
- Experience in model evaluation metrics and techniques for model validation
- Strong problem-solving skills and the ability to work independently
- Excellent communication skills and a collaborative approach to work
- Passion for machine learning and eagerness to stay updated with industry trends
- 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
Be The First To Know
About the latest Ai software engineer Jobs in Oman !