13 Microsoft AI jobs in Kuwait

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Digital Processing Systems Kuwait (DPSKW) Digital Processing Systems Kuwait is looking for experienced

AI/ML/DL developers

to work on Agentic AI-based solutions for different use cases and industries. About DPS DPS Kuwait is a global leader in providing integrated business and technology solutions. Our products and services are engineered with the notion of adaptability, helping our clients to respond to market demands and technological advancements. We have a team comprising passionate people with technical knowledge, business sense, and communication skills, creating conducive environment and nurturing great ideas. Role Overview: We are looking for a highly skilled AI Engineer to develop and optimize Agentic AI applications leveraging Generative AI (GenAI) and large language models (LLMs). The ideal candidate should have a strong foundation in computer science, expertise in Python, and hands-on experience with machine learning and deep learning frameworks. Key Responsibilities: ·Design, develop, and deploy AI-powered agents using GenAI and LLM models. ·Fine-tune and optimize large language models for specific applications. ·Implement ML/DL algorithms using frameworks like TensorFlow, PyTorch, and LangChain / LangGraph. ·Work with vector databases, retrieval-augmented generation (RAG), and reinforcement learning techniques. ·Collaborate with data scientists and engineers to enhance model performance. ·Stay up to date with advancements in AI research and apply them to real-world problems. Required Qualifications: ·Bachelor's/Master’s in Computer Science, AI, or related field. ·Strong programming skills in Python. ·Hands-on experience with ML/DL libraries (TensorFlow, PyTorch, Hugging Face, etc.). ·Experience with deploying AI models and working with cloud platforms (AWS, GCP, Azure). ·Knowledge of AI agent frameworks (LangChain, OpenAI API, and similar tools) and LLM application development. ·Understanding of vector embeddings, prompt engineering, and fine-tuning techniques. Experience in autonomous AI agents (e.g., AutoGPT, BabyAGI, OpenAI Function Calling). Exposure to knowledge graphs, semantic search, and NLP applications. In Kuwait with Transferable Iqama Please send your CV to



(write

AI-Engineer

in the subject) (apply only if you comply with the above-mentioned requirements) Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Digital Processing Systems Kuwait (DPSKW) by 2x Get notified about new Artificial Intelligence Engineer jobs in

Salmiya, Hawalli, Kuwait . Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

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

Senior Mechanical Engineer – Data Center

Senior Electrical Engineer – Data Center

Software Engineer - Data Infrastructure - Kafka

Software Engineer - Data Infrastructure - OpenSearch/ElasticSearch

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Responsibilities (Text Only)

• Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
• Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.
• Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions.
• Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
• Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
• Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
• Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums.

Qualifications (Text Only) Required Qualifications

• 5+ years technical pre-sales or technical consulting experience
• OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
• OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience
• OR equivalent experience
• Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
• Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting using integrated Data Security & Governance.
• Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.

Additional or Preferred Qualifications

• 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
• OR equivalent experience
• 4+ years experience with cloud and hybrid, or on-premises infrastructure, architecture designs, migrations, industry standards, and/or technology management

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Data Platform for  **commercial customers**  at Microsoft. Here, you'll be at the forefront of cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathonsand architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
**Required Qualifications**
+ 5+ years technical pre-sales or technical consulting experience
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
+ OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience
+ OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
**Additional or Preferred Qualifications**
+ 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
+ o OR equivalent experience
+ 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
+ Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Responsibilities (Text Only)

Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.

Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.

Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions.

Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.

Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.

Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.

Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums.

Qualifications (Text Only) Required Qualifications

5+ years technical pre-sales or technical consulting experience

OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience

OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience

OR equivalent experience

Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.

Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting using integrated Data Security & Governance.

Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.

Additional or Preferred Qualifications

6+ years technical pre-sales, technical consulting, or technology delivery, or related experience

OR equivalent experience

4+ years experience with cloud and hybrid, or on-premises infrastructure, architecture designs, migrations, industry standards, and/or technology management

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#J-18808-Ljbffr

3 weeks ago Be among the first 25 applicants

BlackStone eIT, a leading computer software company, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. As a Senior Machine Learning Engineer at BlackStone eIT, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models and algorithms. You will work closely with cross-functional teams to analyze complex data, identify opportunities for applying machine learning techniques, and lead the development and implementation of solutions to solve challenging business problems.

In this role, you will have the opportunity to work on cutting-edge projects, collaborate with industry experts, and make significant contributions to the company's success. We are seeking individuals who are passionate about machine learning, possess strong analytical and problem-solving skills, and have a proven track record in delivering successful machine learning solutions.

Requirements

• Experience: 3-5 years
• Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python
• Outstanding analytical and problem-solving skills
• Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Ability to work in a team
• BSc in Computer Science, Mathematics or a similar field; a Master's degree is a plus
  
  

Responsibilities

• Study and transform data science prototypes
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Deploy the trained models and build REST APIs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Study project Requirements
• write technical details at BRDs
• Keep abreast of developments in the field
  
  

Benefits

• Paid Time Off
• Work From Home
• Performance Bonus
• Training & Development

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at BlackStone eIT by 2x

Get notified about new Senior Machine Learning Engineer jobs in Kuwait .

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3 weeks ago Be among the first 25 applicants BlackStone eIT, a leading computer software company, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. As a Senior Machine Learning Engineer at BlackStone eIT, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models and algorithms. You will work closely with cross-functional teams to analyze complex data, identify opportunities for applying machine learning techniques, and lead the development and implementation of solutions to solve challenging business problems.

In this role, you will have the opportunity to work on cutting-edge projects, collaborate with industry experts, and make significant contributions to the company's success. We are seeking individuals who are passionate about machine learning, possess strong analytical and problem-solving skills, and have a proven track record in delivering successful machine learning solutions.

Requirements

Experience: 3-5 years Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Outstanding analytical and problem-solving skills Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team BSc in Computer Science, Mathematics or a similar field; a Master's degree is a plus

Responsibilities

Study and transform data science prototypes Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Deploy the trained models and build REST APIs Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Study project Requirements write technical details at BRDs Keep abreast of developments in the field

Benefits

Paid Time Off Work From Home Performance Bonus Training & Development

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at BlackStone eIT by 2x Get notified about new Senior Machine Learning Engineer jobs in

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

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, 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 an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. 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 hourse! 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.

• Hands-on experience with machine learning libraries, or tools.
• Proven track record of building highly automated machine learning solutions for the cloud.
• 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.

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Junior Software Engineer - Cross-platform C++ - Multipass Python Software Engineer - Ubuntu Hardware Certification Team Senior Software Engineer - Python/MongoDB

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

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, 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 an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. 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 hourse! 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.

Hands-on experience with machine learning libraries, or tools. Proven track record of building highly automated machine learning solutions for the cloud. 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.

Seniority level

Seniority level Entry level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Canonical by 2x Junior Software Engineer - Cross-platform C++ - Multipass

Python Software Engineer - Ubuntu Hardware Certification Team

Senior Software Engineer - Python/MongoDB

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

Join to apply for the Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics role at Canonical

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

3 days ago Be among the first 25 applicants

Join to apply for the Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics role at Canonical

Get AI-powered advice on this job and more exclusive features.

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.

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Distributed Systems Software Engineer, Python / Go Software Engineer - Data Infrastructure - Kafka Software Engineer - Python - Container Images Embedded Linux Field Engineer for Devices/IoT Software Engineer - Python - Container Images Senior Site Reliability / Gitops Engineer Community Engineer (multiple roles and seniority levels) Software Engineer - packaging - optimize Ubuntu Server Senior Software Engineer - packaging - optimize Ubuntu Server Linux Cryptography and Security Engineer Software Engineer (Python/Linux/Packaging) Embedded Linux Senior Software Engineer - Optimisation Software Engineer - packaging - optimize Ubuntu Server Software Engineer - packaging - optimize Ubuntu Server for public clouds Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Senior Ubuntu Embedded IoT System Engineer Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Junior Software Engineer - Cross-platform C++ - Multipass

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