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ML Ops engineer at Kryptos Technologies limited

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Redis Cluster, Kafka, Flink, S3 Data Pipeline, Micro Batches, Mongo, Atlas, SageMaker MLOps, SageMaker Training, Model Deployment, Pytorch, AWS

Industry

Information Technology & Services

Description

Tasks ML Ops engineer London 6months+ Contract Job Description: *Redis cluster setup *Kafka/Flink streaming pipelines *S3 Data pipeline *Real time micro batches implementation (5 minutes, hourly, daily) *Mongo/Atlas as alternative implementation (we might land with S3 instead) *SageMaker MLOps / SageMaker Training / SM Model Deployment *Pytorch Requirements AWS Project experience must Apache Flink experience is advantageous

Responsibilities

The role involves setting up and maintaining critical data infrastructure components such as Redis clusters and Kafka/Flink streaming pipelines. Responsibilities also include implementing real-time micro-batch processes on various schedules and utilizing AWS SageMaker for MLOps tasks.