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Entry Level Google Cloud Machine Learning Engineer Jobs in Houston, TX

... version control, machine learning and artificial intelligence, and the software development ... cloud technologies, frameworks and other emerging technologies based on project needs. We're a ...

Azure Power BI - Houston, TX

Houston, TX · On-site

$52.50 - $65.25/hr

Responsibilities : • Power BI • SQL - including query, stored procedure, function • DevOps - mainly for code deployment • Knowledge of Google Cloud Platform (GCP) • GCP native tools ...

... machine learning (ML), and advanced data analytics to design, build, and deploy custom cloud-native applications and services. Our teams help clients rapidly prototype, scale, and productionize ...

Senior Data Engineer

Stafford, TX

$92K - $125K/yr

Our team is at the forefront of applying Machine Learning (ML) to interpret and process complex ... Cloud & Infrastructure: Hands-on experience with at least one major cloud provider (AWS, Azure, or ...

Senior Data Engineer

Stafford, TX · On-site

$92K - $125K/yr

Our team is at the forefront of applying Machine Learning (ML) to interpret and process complex ... Cloud & Infrastructure: Hands-on experience with at least one major cloud provider (AWS, Azure, or ...

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on ... Explore emerging tech-from artificial intelligence/machine learning to cloud-native engineering ...

Showing results 41-60

Entry Level Google Cloud Machine Learning Engineer information

See Houston, TX salary details

$28.6K

$66.2K

$112.7K

How much do entry level google cloud machine learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level google cloud machine learning engineer in Houston, TX is $66,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $75,000.00 per year, depending on experience, location, and employer.

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For Entry Level Google Cloud Machine Learning Engineer jobs in Houston, TX, the most frequently searched job titles are:

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Cities near Houston, TX with the most Entry Level Google Cloud Machine Learning Engineer job openings:

Infographic showing various Entry Level Google Cloud Machine Learning Engineer job openings in Houston, TX as of June 2026, with employment types broken down into 51% Full Time, 27% Part Time, 20% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $66,239 per year, or $31.8 per hour.

Mental Health Expert - Remote

YO AI Labs

Houston, TX • Remote

$200 - $350/hr

Full-time

Posted 6 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.