Senior MLOps Engineer

8 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Read jd before applyingStrong MLOps profileMandatory (Experience 1) - Must have 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deploymentsMandatory (Experience 2) - Must have 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in productionMandatory (Experience 3) - Must have 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computationMandatory (Experience 4) - Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatchMandatory (Experience 5) - Must have hands-on Python for pipeline & automation developmentMandatory (Experience 6) - Must have 4+ years of experience in AWS cloud, with recent companiesMandatory (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

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