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# ML Engineer with GCP

- **Company:** Intersources Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, BigQuery, Cloud Storage, Data Infrastructure, Extract Transform Load (ETL), DevOps, Python (Programming Language), Cloudera, Web Applications, Kubernetes, Information Technology, Machine Learning Operations, Data Delivery, Data Pipelines
- **Published:** October 14, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/27478660#/jobs/27478660

## About the Role

The candidate will be expected to build ML pipelines on Kubeflow, connecting components from BigQuery, Google Cloud Storage, and Dataproc, and deploy API end points.

 * Technology expectations o 3 + years of experience in BigQuery

 * 3+ years of experience in Kubeflow, and Dataproc

 * 3+ years of hands-on experience in API deployment and 1+ years of experience in Kubernetes

 * 3+ experience in GCP environment

 * Good knowledge on DevOps background and Python

 * Strong verbal and written communication skills to effectively share findings with shareholders.

 * Good understanding of web-based application development

 * Should be an independent contributor from day one and be able to operate with minimal to no supervision

 * A bachelor's degree in computer science or relevant fields is mandatory.

 * Should be hands on and be able to work in an agile, fast-moving environment.

Assembling large to complex sets of data that meet non-functional and functional requirements

 * Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes

 * Building required infrastructure for optimal extraction, transformation and loading of data from various data sources

 * Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition

## Description

* Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues

 * Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues, * work on a multi-vendor multi-geo team support one of the complex enterprise environments