ML Engineer - Real-Time Data Pipelines & SageMaker (AWS)

Data Freelance Hub; Remote; GBP 50,000 - GBP 75,000; Part time

Job summary

A freelance data hiring platform in London is seeking a skilled ML Engineer to specialize in setting up Redis clusters, developing Kafka/Flink streaming pipelines, and implementing S3 data pipelines. The role emphasizes real-time micro-batch implementations and utilizes tools such as SageMaker for MLOps. Candidates should be proficient in Pytorch and AWS. This contract position offers flexible working arrangements for experienced professionals in data engineering.

Responsibilities

• Setup a Redis cluster for data management.
• Develop Kafka/Flink streaming pipelines for data processing.
• Implement S3 data pipelines for storage.
• Create real-time micro-batch implementations for data analysis.

Skills

Redis cluster setup

Kafka/Flink streaming pipelines

S3 data pipeline

Real-time micro-batch implementation

Mongo/Atlas

SageMaker MLOps

SageMaker Training

SageMaker Model Deployment

Pytorch

AWS

Job description

A freelance data hiring platform in London is seeking a skilled ML Engineer to specialize in setting up Redis clusters, developing Kafka/Flink streaming pipelines, and implementing S3 data pipelines. The role emphasizes real-time micro-batch implementations and utilizes tools such as SageMaker for MLOps. Candidates should be proficient in Pytorch and AWS. This contract position offers flexible working arrangements for experienced professionals in data engineering.