MLOps Field Engineer

This role is ideal for an MLOps or cloud engineering professional who enjoys solving complex technical challenges directly with customers. You will design and deliver modern AI/ML architectures using open source technologies, Linux, Kubernetes, and public or private cloud infrastructure. The position combines technical consulting, solution architecture, hands-on implementation, and customer engagement rather than traditional software development. You will work on large-scale challenges involving distributed machine learning, real-time data processing, hybrid cloud environments, and advanced analytics. As part of a global Field Engineering team, you will collaborate closely with sales, product, engineering, and enterprise customers. The role also provides exposure to emerging technologies and opportunities to influence technical roadmaps through real-world customer insights.

• Professional experience in MLOps, data engineering, big data, cloud infrastructure, or the deployment of machine learning and analytics solutions.
• Practical experience with Linux, virtualization, containers, networking, and cloud infrastructure.
• Experience with Kubernetes and familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Working knowledge of MLOps, AI/ML infrastructure, data processing pipelines, distributed systems, or large-scale analytics environments.
• Intermediate Python programming skills, with experience in another language such as R or Rust considered an advantage.
• Understanding of open source technologies and an interest in enterprise applications of private cloud, machine learning, AI, data, and analytics.
• Ability to design technical architectures and translate complex customer requirements into practical infrastructure and solution designs.
• Strong customer-facing communication skills, with the ability to explain technical concepts through presentations, demonstrations, workshops, and discussions.
• Business-minded approach with the ability to balance technical quality, customer needs, and commercial objectives.
• Demonstrated problem-solving ability, initiative, and willingness to take ownership of complex projects.
• Strong interpersonal skills, curiosity, flexibility, accountability, and a results-oriented mindset.
• Confidence to exchange feedback, challenge ideas respectfully, and contribute actively to technical discussions.
• Passion for technology demonstrated through personal projects, continuous learning, open source involvement, or technical initiatives.
• Strong written and spoken English with excellent presentation skills.
• A technical undergraduate degree or a compelling alternative educational or professional background.
• Ability to work effectively with colleagues and customers across multicultural, multinational, and distributed environments.
• Willingness and ability to travel internationally for customer meetings, industry events, and company gatherings.