Cloud-Scale AI Infrastructure Lead
1 week ago
Unreal Gigs is seeking a seasoned expert in cloud-scale AI infrastructure to lead our team of engineers. As a Cloud-Scale AI Infrastructure Lead, you will be responsible for designing and architecting scalable and reliable infrastructure solutions to support machine learning workflows.
Our ideal candidate has 5+ years of experience in infrastructure engineering, with a focus on machine learning infrastructure. They possess strong programming skills in languages such as Python, Java, or Scala, and have experience with distributed computing frameworks like Apache Spark or TensorFlow.
The successful candidate will also have expertise in cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS SageMaker, Azure Machine Learning, or Google AI Platform. They will be able to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and mentor junior engineers.
Responsibilities- Design and Architecture: Design scalable and reliable infrastructure solutions to support machine learning workflows, including data ingestion, model training, evaluation, and deployment.
- Data Pipeline Development: Develop and maintain data pipelines to ingest, preprocess, and transform data for training machine learning models.
- Model Training Infrastructure: Build and optimize infrastructure for training machine learning models at scale, leveraging distributed computing frameworks and accelerators.
- Model Deployment: Design and implement systems for deploying and managing machine learning models in production environments.
- Monitoring and Logging: Implement monitoring and logging solutions to track the performance and health of machine learning infrastructure and models.
We offer a competitive salary range of $170,000 - $230,000 per year, depending on experience and qualifications. Our benefits package includes comprehensive health, dental, and vision insurance plans, flexible work hours, remote work options, generous vacation and paid time off, professional development opportunities, and a state-of-the-art technology environment.
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