Senior AI Platform Architect

Talon Professional Services

New York (NY)

On-site

USD 140,000 - 220,000

Full time

14 days+
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Job summary

Talon Professional Services is seeking a Principal AI Engineer in the United States, New York area, to lead the development of scalable AI platforms and end-to-end AI infrastructure from scratch. You will design, build, and maintain systems that support advanced AI applications while collaborating with cross-functional teams to deliver reliable and secure AI capabilities in a dynamic environment.

The role requires 10+ years in large-scale AI projects, experience deploying models in production,

Qualifications

  • 10+ years of progressive engineering experience in large-scale data or AI projects.
  • Proven track record of building and maintaining AI or machine learning platforms.
  • Experience deploying models in production environments.
  • Knowledge of distributed systems and microservices architecture.

Responsibilities

  • Lead design, build, and maintain scalable AI platforms.
  • Collaborate with cross-functional teams to deliver AI capabilities.
  • Deploy and monitor AI models in production environments.
  • Ensure security and reliability of AI infrastructure.
  • Travel 10-20% of the time.

Skills

Python/Java/R
AI infrastructure
Data pipelines
Cloud (AWS/Azure)
ML frameworks (TF/PyTorch/Scikit)
Docker/Kubernetes
Databases (PostgreSQL/MongoDB)
API development
Performance optimization
AI system troubleshooting

Education

Bachelor's in CS/IT

Tools

Docker
Kubernetes
Kafka
Spark
PostgreSQL/MongoDB

Job description

Talon Professional Services is seeking a Principal AI Engineer in the United States, New York area, to lead the development of scalable AI platforms and end-to-end AI infrastructure from scratch. You will design, build, and maintain systems that support advanced AI applications while collaborating with cross-functional teams to deliver reliable and secure AI capabilities in a dynamic environment.

The role requires 10+ years in large-scale AI projects, experience deploying models in production,

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