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 India.

Join a global Field Engineering team helping organizations adopt contemporary 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 custome

📌 MLOps Field Engineer (India)
🏢 Jobgether
📍 India