Sphere · 1 day ago
Lead AI Infrastructure Engineer (Python/ML )
Sphere is a company that partners with global logistics firms to leverage AI and Machine Learning for optimizing operations. They are seeking a Lead AI Infrastructure Engineer to build and maintain scalable AI infrastructure, enabling teams to run ML experiments and deploy machine learning models.
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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
Qualification
Required
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
Company
Sphere
Drive your sustainable digital transformation with focus on innovation and scale
H1B Sponsorship
Sphere has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (3)
2020 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase