Software 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
Implement MLOps systems for managing ML cloud training and inference pipelines
Collaborate with ML engineers to design metrics and algorithms for data mining and annotation processes
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 and validation pipelines
Experience with native cloud applications and large-scale data processing pipelines
Proficient in 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
Implement MLOps systems for managing ML cloud training and inference pipelines
Collaborate with ML engineers to design metrics and algorithms for data mining and annotation processes
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 and validation pipelines
Experience with native cloud applications and large-scale data processing pipelines
Proficient in C++, Python, or Go
Hands-on experience with Computer Vision and Deep Learning