| Tomorrow Interview || MLOps - Data Engineer || Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Rahul Kumar, SPAR Information Systems [email protected] Reply to: [email protected] Hello Folks, Hope you all are doing good. Please go through the Job description and let me know your interest. Title: MLOps/Data Engineer Work Location: Remote Duration: Long Term Contracts Must have: Building data pipeline, GCP, BigQuery, CI/CD Job Description: o 8+ experience working on Data engineering with full stack development o 2+ year working experience streamlining the development, deployment, and management of machine learning models in production environments. o Good hands on exposure on Database connectivity o Design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions GCP o Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes. o Experience in programming languages like Python, Go or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. o Strong experience on BigQuery o Experience developing and maintaining ML systems built with open source tools o Experience on CICD pipelines orchestration experience - deploying machine learning solutions using DevOps principles is quite high o should be well-versed in data structures, data modelling, and database management systems. o Ability to understand tools used by data scientist and experience with software development and test automation. o Exposure to machine learning methodology and best practices. Thanks & Regards, Rahul Kumar Sr. Technical Recruiter SPAR Information Systems (a E-verify Company) Email : [email protected] Keywords: continuous integration continuous deployment machine learning golang |
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| Thu Oct 12 18:40:00 UTC 2023 |