AI and MLOps Field Engineer
2 weeks ago
Job Requirements
- Exceptional academic track record from high school and university
- Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
- Experience in data engineering, MLOps, or big data solutions deployment
- Proficiency in a relevant programming language, such as Python, R, or Rust
- Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
- Track record of going above-and-beyond expectations to achieve outstanding results
- Demonstrated personal interest in continuous learning and development
- Practical knowledge of Linux, virtualisation, containers, and networking
- Business-minded technology thinker and problem solver
- Knowledge of cloud computing concepts and leaders, such as Kubernetes, AWS, Azure, GCP
- Interest in large-scale enterprise open-source - private clouds, machine learning, and AI, data and analytics
- Intermediate-level Python programming skills
- 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
- A dynamic person who loves to jump into new projects and interact with people
- Appreciative of diversity, polite, and effective in a multi-cultural, multi-national organisation
- Thoughtfulness and self-motivation
- Result-oriented, with a personal drive to follow up and meet commitments
- Ability to travel internationally for company events up to two weeks long, and customer or industry meetings
What You'll Learn
- Architect and deploy AI/ML infrastructures, data processing pipelines, and multi-cluster distributed training
- Wide range of open-source applications and skills
- Work directly with customers in a range of different businesses
- Real-life and hands-on exposure to a wide range of emerging technologies and tools
What We Offer Colleagues
- 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
Join Canonical and take your career to the next level
Why Canonical?
- We're a global company with a diverse and inclusive culture
- We're passionate about open-source and innovation
- We offer a competitive salary and benefits package
- We provide opportunities for professional growth and development
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