Lead AI Infrastructure Engineer (Python/ML )Sphere Software • New York, New York, United States
Lead AI Infrastructure Engineer (Python/ML )
Sphere Software
- New York, New York, United States
- New York, New York, United States
Über
Long-term contract Location:
Remote (overlap with PST)
At
Sphere , we partner with a global logistics company leveraging AI, Machine Learning, and Data Engineering to optimize warehouse operations, predictive maintenance, and route planning.
Role:
Build and maintain scalable AI infrastructure, enabling teams to run ML experiments, deploy machine learning models, and implement MLOps pipelines for production-grade AI.
Key Responsibilities
Design distributed training pipelines for large-scale machine learning and deep learning models.
Optimize compute and storage resources for cloud-based AI/ML workloads on AWS, GCP, or Azure.
Collaborate with data scientists and ML engineers to deploy models in production efficiently.
Implement monitoring, logging, and alerting for model performance and AI workflows.
Ensure scalable, maintainable, and reliable AI infrastructure to support real-time and batch ML applications.
Requirements
5+ years in
Python
and
ML infrastructure .
Experience in
cloud AI platforms
(AWS Sagemaker, GCP AI Platform, Azure ML).
Experience with
containerization (Docker) ,
orchestration (Kubernetes) , and
CI/CD for ML .
Experience with
distributed systems ,
data pipelines , and
high-performance computing for AI .
Hands-on with
deep learning frameworks
like TensorFlow or PyTorch.
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Sprachkenntnisse
- English
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