Forward Deployed Systems Engineer

hire feed • Pakistan
Remote
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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
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
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.

• 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.


Required Skills & Qualifications:

• Experience with deploying and scaling AI/ML models in production environments is required.

• Proficiency in Python and cloud platforms such as AWS, GCP, or Azure is necessary.

• Strong problem-solving skills with the ability to diagnose and resolve complex technical issues.

• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines is preferred.

• Excellent communication skills for interacting with customers and internal stakeholders.


More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the deployment of cutting-edge AI solutions worldwide. The position involves direct engagement with high-impact clients to drive adoption and success of technical products.


Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.


Apply Now!


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