Machine Learning Infrastructure Engineer
A company is looking for a Software Infrastructure Engineer, ML Ops.
Key Responsibilities
Develop and maintain ML infrastructure, including ETL pipelines and continuous training pipelines
Create MLOps systems for managing the lifecycle of ML training and inference pipelines
Collaborate with ML engineers to design metrics and implement algorithms for data annotation
Required Qualifications
BS in computer science with a focus on data engineering and large-scale ML systems
3+ years of experience in building and improving large-volume ML training pipelines
Experience in developing native cloud applications
Proficient in at least one programming language: C++, Python, or Go
Hands-on experience with Computer Vision and Deep Learning
A company is looking for a Software Infrastructure Engineer, ML Ops.
Key Responsibilities
Develop and maintain ML infrastructure, including ETL pipelines and continuous training pipelines
Create MLOps systems for managing the lifecycle of ML training and inference pipelines
Collaborate with ML engineers to design metrics and implement algorithms for data annotation
Required Qualifications
BS in computer science with a focus on data engineering and large-scale ML systems
3+ years of experience in building and improving large-volume ML training pipelines
Experience in developing native cloud applications
Proficient in at least one programming language: C++, Python, or Go
Hands-on experience with Computer Vision and Deep Learning