AI / ML and MLOps Field Engineer at Canonical

Canonical – We deliver open source to the world faster, more securely, and more cost-effectively than any other company. We develop Ubuntu, the world’s most popular enterprise Linux from cloud to edge, together with a passionate global community of 200,000 contributors. Ubuntu means ‘humanity to others. We chose it because it embodies the generosity at the heart of open source, the new normal for platforms and innovation. Together with a community of 200,000, we publish an operating system that runs from the tiny connected devices up to the world’s biggest mainframes, the platform that everybody uses on the public cloud, and the workstation experience of the world’s most productive developers. Secure and reliable, elegant and intuitive, and open for innovation – Ubuntu is the future of open source, which is why it’s the fastest-growing Linux in the world despite already being the most widely deployed.

Job position: AI / ML and MLOps Field Engineer

Job Location: Lagos (Remote)

Job Description 

1. We are hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes.
2. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world’s best open source data platform, covering traditional SQL databases and today’s NoSQL data stores, as well as the machinery which turns data into insights and executable models.
3. The people who love this role are software engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are are developers who like to solve customer problems through architecture, presentations and training. Ubuntu is used by pretty much every enterprise in the world, in every industry. This is a fantastic opportunity to learn about the open source technology landscape and develop your business technology insights. You will see first hand in various industries how Linux – and Ubuntu in particular – is shaping innovation and changing the world for the better.
4. This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple K8s clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we solve day to day.
5. Location: Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country.

Job Responsibilities
What your day will look like:

1. The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs.
2. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project.
3. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code.
4. Work across the entire Linux stack, from kernel, networking, storage, to applications
5. Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark
6. Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud)
7. Collect customer business requirements and advise them on Ubuntu and relevant open source applications
8. Grow a healthy, collaborative engineering culture in line with the company values
9. Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients
10. Liaise with product teams to give them feedback on requirements to influence roadmap
11. Work collaboratively with your sales team to reach our common targets
12. Global travel up to 25% of time for internal and external events and 25% to customer meetings

Job Requirements
What we are looking for in you

1. Exceptional academic track record from both high school and university
2. Undergraduate Degree in a technical subject or a compelling narrative about your alternative chosen path
3. Experience in data engineering, MLOps, or big data solutions deployment
4. Experience with a relevant programming language, like Python, R, or Rust.
5. Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
6. Track record of going above-and-beyond expectations to achieve outstanding results
7. Demonstrated personal interest in continuous learning and development
8. Practical knowledge of Linux, virtualisation, containers and networking
9. Business-minded technology thinker and problem solver
10. Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP
11. Interest in large-scale enterprise open source – private clouds, machine learning and AI, data and analytics
12. Intermediate level Python programming skills
13. Passion for technology evidenced by personal projects and initiatives
14. The work ethic and confidence to shine alongside motivated colleagues
15. Professional written and spoken English with excellent presentation skills
16. Experience with Linux (Debian or Ubuntu preferred)
17. Excellent interpersonal skills, curiosity, flexibility, and accountability
18. A dynamic person who loves to jump in new projects and interact with people
19. Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
20. Thoughtfulness and self-motivation
21. Result-oriented, with a personal drive to follow up and meet commitments
22. Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings

What You’ll Learn

1. Architect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training
2. Wide range of open source applications and skills
3. Work directly with customers in a range of different businesses
4. Real-life and hands-on exposure to a wide range of emerging technologies and tools.

Application Deadline
24th September, 2024.

How to Apply
Interested and qualified candidates should:
Click here to apply online