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Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc. Experience working with Google Cloud platform(GCP) - specifically Google Kubernetes engine, Terraform, and infrastructure.
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Develop EL/ELT/ETL pipelines by using Python/Pyspark to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Charging / Energy Analytics Product Line.
$114,483 - $146,301 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.
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Experience in delivering cloud engineering products. 2+ years of experience with Cloud Engineering / Services. Collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often.
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GCP Services like Vertex AI, Cloud Function, BigQuery etc. STG is a fast-growing Digital Transformation services company providing Fortune 500 companies with Digital Transformation, Mobility, Analytics and Cloud Integration services in both information technology and engineering product lines.
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Experience in delivering cloud engineering product. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often.
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Experience with Client workflow orchestration tools: Airflow, Kubeflow etc. Help innovate standardize machine learning development practices. Leverage latest Client/Gen AI / GCP/AIOPs/Kubernetes technologies.
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Experience with cloud services, preferably Google Cloud Platform Services like Vertex AI, Cloud Function, BigQuery etc. Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in Google Cloud Platform using Python and other tools for the data scientists and business across the company.
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Google Cloud Platform Engineer test required. Job Title: Machine Learning Engineer with Python and GCP (314069) Client is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform.
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A solid understanding of Google Cloud solutions, including DataProc, BigQuery, Cloud Run, and Astronomer, is required. Educate business stakeholders on the advantages of an iterative development methodology, emphasizing the importance of delivering a Minimum Viable Product (MVP) through strategic prioritization.
$70 - $85 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Master focused in Computer Science / Machine Learning or related field Experience working with Google Cloud platform(GCP) - specifically Google Kubernetes engine, Terraform, and infrastructure Experience in programming concepts such as Paired Programming, Test Driven Development, etc.
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Knowledge of Google Cloud Technologies (Cloud Run, DataPro c, BigQuery) Help business partners understand our iterative development approach and focus on delivering a Minimum Viable Product (MVP) through careful and deliberate prioritization.
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