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# Sr. GCP ML/AI Engineer

- **Company:** Insight Global
- **Location:** Los Angeles, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Cloud Computing, Code Review, Data Flow Control, Github, Monitoring of Systems, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Gemini Enterprise (Agent Platform), Cloudera, Google Cloud, Cloud Platform System, Pytorch, Large Language Models, Apache Spark, Generative AI, Agentic-AI, AI Platforms, Pyspark, Production Code, Machine Learning Operations, Google Gemini, Data Pipelines, Apache Beam
- **Published:** October 18, 2026
- **Apply:** https://dejobs.org/x/x/4BBFE55315C54391934AB72D7929E270/job/

## About the Role

* Senior-level hands-on machine learning and/or AI engineering experience * Strong Google Cloud Platform (GCP) experience * Hands-on experience with Google's ML/AI ecosystem * Gemini and/or Google Generative AI experience * Strong Python development skills * Experience developing and deploying ML, Generative AI, and/or LLM solutions into production * Experience operationalizing ML/AI workloads using MLOps practices * Understanding of data pipelines and how enterprise data feeds ML/AI applications * Ability to write, review, troubleshoot, and deploy production code using GitHub-based development workflows * Ability to operate at a Senior Engineer / Architect level and communicate technical solutions to customers * Vertex AI * Gemini Enterprise * Agentic AI * Retrieval-Augmented Generation (RAG) * PyTorch and/or TensorFlow * BigQuery * Dataflow / Apache Beam * Dataproc / Spark / PySpark * MLOps tooling and model monitoring * GCP Professional Machine Learning Engineer
certification * GCP Professional Cloud Architect certification * Experience supporting federal/public-sector or highly regulated customers * Experience with secure or classified cloud environments * Active security clearance * Ability to span both ML/AI engineering and GCP data engineering

## Description

We are seeking a Senior GCP ML/AI Engineer to design, build, deploy, and operationalize production AI and machine learning solutions using Google Cloud technologies. The role is focused on hands-on engineering with Google's ML/AI ecosystem, including Gemini and related GCP AI services.

The engineer will develop production ML, Generative AI, and/or LLM solutions in Python and integrate those solutions with enterprise data pipelines. Responsibilities include model and LLM pipeline development, deployment, MLOps, production integration, performance optimization, and technical architecture.

This is a hands-on engineering position. The engineer must be able to develop Python code, review code in GitHub, troubleshoot implementations, and contribute directly to production delivery while also operating at a senior technical level.

The role is primarily remote but requires the ability to travel to the Reston, VA/customer location periodically. On-site requirements may range from several days to approximately 1-2 weeks in a month depending on customer needs.