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Sr. GCP ML/AI Engineer
Insight Global
3 hours ago
Full-time
On-site
Los Angeles, California, United States
Job 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.
Skills and Requirements
• 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
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
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.
Skills and Requirements
• 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
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.