Forward Deployed Systems Engineer

hire feed • Pakistan

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

We are hiring a Forward Deployed Systems Engineer to deploy and integrate AI solutions directly with enterprise customers. The role requires deploying AI models and infrastructure, troubleshooting technical issues in real-time, and providing technical leadership through training and support. Candidates must have experience deploying AI/ML models in production, proficiency in Python and cloud platforms, and strong problem-solving skills.

Key Highlights

Deploy and integrate AI solutions directly with enterprise customers

Full-time remote position with $300K-$650K annual compensation

Requires experience deploying AI/ML models in production environments

Key Responsibilities

Deploy and configure AI models and infrastructure for enterprise clients to meet performance and scalability requirements

Troubleshoot and resolve technical issues in real-time to minimize downtime and ensure system reliability

Collaborate with product and engineering teams to gather feedback and refine solutions based on customer needs

Develop and maintain documentation for deployed systems to support ongoing operations and future deployments

Provide technical leadership to customers through training, best practices, and proactive support

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Technical Skills Required

Python Cloud platforms (AWS, GCP, Azure) AI/ML model deployment and scaling

Benefits & Perks

Remote work

Full-time employment

$300K-$650K annual salary

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Nice to Have

Containerization (Docker, Kubernetes)

CI/CD pipelines

Job Description

Role: Systems Engineer (Remote)
Location: Remote (Work from Anywhere)
Job Type: Full-Time
Payout: $300K - $650K/yr

Role Overview:

We are hiring for one of our clients, seeking a Forward Deployed Engineer to work on a full-time basis. This role involves deploying and integrating AI solutions directly with enterprise customers to ensure seamless implementation and adoption. The position requires close collaboration with cross-functional teams to address technical challenges in production environments.

Key Responsibilities:

• Deploy and configure AI models and infrastructure for enterprise clients to meet performance and scalability requirements.

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