Get AI-powered advice on this job and more exclusive features.
This range is provided by PDS. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more.
Base pay range
$200.00/yr - $220.00/yr
Additional compensation types
Stock options
Role Overview:
As an ML Infrastructure Engineer, you will design and maintain the infrastructure that supports ML model deployment, scaling, and optimization. You will collaborate with cross-functional teams to ensure smooth and efficient ML operations in production.
Key Responsibilities:
- Design, build, and maintain scalable ML infrastructure.
- Optimize model deployment and data pipelines.
- Monitor model performance and ensure high availability.
- Collaborate with data scientists and software engineers to enhance workflows.
- Manage cloud resources and ensure security compliance.
Qualifications:
- Experience: 6+ years in infrastructure or cloud engineering with a focus on ML environments.
Skills:
- Experience with cloud platforms (AWS, GCP).
- Knowledge of ML frameworks (TensorFlow, PyTorch).
- Strong in containerization (Docker, Kubernetes) and CI/CD tools (Jenkins, CircleCI).
- Familiar with data pipelines (Apache Spark, Kafka).
- Proficiency in Python, with experience in Go, Java, or C+ a plus.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
J-18808-Ljbffr