MLOps Field Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a MLOps Field Engineer based in Switzerland.

Join a global Field Engineering team helping organizations adopt modern AI and machine learning technologies across public and private cloud <environments.You> will design and deliver sophisticated ML and data architectures using Linux, Kubernetes, and leading open-source technologies.The role combines technical consulting, solution architecture, customer engagement, and hands-on implementation rather than traditional software <development.You> will solve complex challenges involving distributed training, large-scale data processing, real-time analytics, and high-performance AI workloads.Working closely with sales and technical teams, you will translate customer requirements into scalable, practical infrastructure <solutions.You> will also influence product direction by sharing customer insights and technical feedback with engineering and product teams.This is an opportunity to work directly with customers while gaining hands-on exposure to emerging AI, MLOps, cloud, and open-source technologies.

Accountabilities

• Architect cloud infrastructure and AI/ML solutions using technologies such as Kubernetes, Kubeflow, OpenStack, Spark, and public cloud platforms.
• Work across the Linux technology stack, including networking, storage, infrastructure, virtualization, containers, and applications.
• Design and deliver solutions for both on-premises environments and public clouds such as AWS, Azure, and Google Cloud.
• Gather customer business and technical requirements and recommend appropriate open-source technologies and infrastructure solutions.
• Deploy, test, validate, and hand over technical solutions to support or managed services teams following project completion.
• Deliver technical presentations, demonstrations, architecture discussions, and training sessions for prospective and existing customers.
• Collaborate closely with sales teams to develop solutions that address customer requirements and contribute to shared commercial objectives.
• Provide technical feedback to product and engineering teams based on customer requirements, implementation experience, and emerging market needs.
• Contribute to a healthy, collaborative engineering culture by sharing knowledge, supporting colleagues, and promoting effective technical practices.
• Develop and maintain Python-based solutions and Kubernetes operators where required to support infrastructure and automation initiatives.
• Travel internationally for customer meetings, industry events, internal events, and project-related activities, with travel potentially reaching up to 30% of working time.

Requirements

• Bachelor’s degree in a technical discipline or a compelling alternative professional background.
• Experience in data engineering, MLOps, analytics, or deployment of big data solutions.
• Practical experience with a programming language such as Python, R, or Rust, with intermediate Python skills expected.
• Hands-on knowledge of Linux, virtualization, containers, networking, and cloud computing concepts.
• Experience with Kubernetes and familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of large-scale enterprise open-source technologies, private clouds, machine learning, AI, data platforms, and analytics.
• Experience designing, deploying, or operating technical solutions in customer-facing environments is valuable.
• Strong business-minded problem-solving skills and the ability to translate technical challenges into practical solutions.
• Excellent written and spoken English, with strong presentation and interpersonal communication skills.
• Confidence to exchange feedback, contribute ideas, challenge assumptions respectfully, and collaborate with diverse stakeholders.
• Strong curiosity, flexibility, accountability, self-motivation, and commitment to continuous learning.
• A proactive, results-oriented approach with the ability to manage commitments and adapt quickly to new projects.
• Passion for technology demonstrated through professional work, personal projects, or other technical initiatives.
• Familiarity with Linux, particularly Debian or Ubuntu, is preferred.
• Ability to work effectively within distributed, multicultural, and multinational teams.
• Willingness and ability to travel internationally, including for events lasting up to two weeks and customer or industry meetings.

Benefits

• Distributed work environment with twice-yearly in-person team sprints.
• Personal learning and development budget of USD 2,000 per year.
• Annual compensation review based on location, experience, and performance.
• Performance-driven annual bonus or commission.
• Recognition rewards.
• 40 days of annual leave per year, including public holidays and company-wide holiday periods.
• Maternity and paternity leave.
• Team Member Assistance Program and Wellness Platform.
• Opportunities to travel internationally and meet colleagues in different locations.
• Priority Pass and travel upgrades for long-haul company events.
• Hands-on exposure to AI/ML infrastructure, MLOps, Kubernetes, cloud platforms, data engineering, and open-source technologies.
• Opportunities to work directly with customers across different industries and solve complex, real-world technical challenges.
• Continuous learning opportunities across emerging technologies, distributed systems, data platforms, and AI infrastructure.