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Freelance Retrieval Augmented Generation Jobs in Rosenberg, TX

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems. * Implement personalized recommendation engines using cutting-edge frameworks ...

W3Global

Senior Data Scientist

Houston, TX · On-site

Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces Work closely with client data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ...

Smart Caliber Technology

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Retrieval-Augmented Generation (RAG) * Vector databases/search * Prompt orchestration pipelines * Ensure data governance, security, and responsible AI practices. * Monitor production systems for ...

New

Intersoft Systems, Inc.

AI Product Manager

Houston, TX · On-site

$150 - $190/hr

Strong experience with AI/ML products, Generative AI, LLMs, Agentic AI, and Retrieval-Augmented Generation (RAG). * Experience building products for B2B, B2C, or enterprise customers. * Strong ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...

Slalom Consulting

General Information

Houston, TX · On-site

Build advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data synthesis

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Experience with Reinforcement Learning, RAG (Retrieval-Augmented Generation), and Agentic AI. * Familiarity with GraphRAG and LLM-as-a-judge architectures. * Predictive Analytics: * Expertise in ...

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How much do freelance retrieval augmented generation jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for freelance retrieval augmented generation in Rosenberg, TX is $20.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $16.73 per hour, depending on experience, location, and employer.

What is a freelance retrieval augmented generation specialist?

A Freelance Retrieval Augmented Generation (RAG) specialist is an independent professional who designs, develops, and implements AI systems that combine retrieval-based methods with generative models. RAG specialists help organizations enhance their applications by integrating large language models (LLMs) with external data sources, allowing the AI to access and utilize up-to-date information beyond its training data. Their work involves tasks such as building pipelines for document indexing and retrieval, fine-tuning models, and optimizing the integration for accuracy and efficiency. Freelance RAG specialists typically work on a contract basis, offering flexibility and expertise for businesses that need advanced AI solutions.

What are the key skills and qualifications needed to thrive as a freelance retrieval augmented generation specialist?

To thrive as a Freelance Retrieval Augmented Generation (RAG) Specialist, you need expertise in natural language processing, information retrieval, and machine learning, typically supported by a degree in computer science or related fields. Proficiency with frameworks like Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone), and cloud platforms is often required. Strong problem-solving, effective communication, and adaptability set standout professionals apart in this role. These skills ensure the development and fine-tuning of high-performance RAG systems that deliver accurate, contextually relevant results for clients.

How does a freelance retrieval augmented generation specialist typically collaborate with client teams during a project?

Freelance Retrieval Augmented Generation (RAG) specialists often work closely with client data scientists, engineers, and project managers to understand business requirements and integrate RAG systems into existing workflows. Communication is usually handled through regular virtual meetings, shared documentation, and sometimes real-time collaboration tools. Freelancers are expected to deliver modular, well-documented solutions and provide guidance on optimizing retrieval pipelines or fine-tuning models. This collaborative dynamic ensures that RAG implementations are aligned with client goals and technical standards, while also allowing freelancers to contribute innovative solutions based on their expertise.

What cities near Rosenberg, TX are hiring for Freelance Retrieval Augmented Generation jobs?

Cities near Rosenberg, TX with the most Freelance Retrieval Augmented Generation job openings:

Freelance Retrieval Augmented Generation jobs near you

Senior Data Scientist /Senior Machine Learning Engineer/ AI/ML Engineer

Medinext Global LLC

Houston, TX • On-site

$125K - $150K/yr

Other

Posted 11 days ago

Key responsibilities

  • Develop, train, evaluate, and deploy machine learning and predictive models to solve complex business problems.

  • Design and implement Generative AI and LLM-based solutions for enterprise applications.

  • Collaborate with product, engineering, and business teams to integrate AI/ML solutions into enterprise products.

Job description

Senior Data Scientist – GenAI / RAG

Location: Houston, TX
Employment Type: Full-Time
Experience: 7–15 Years
Salary: $125,000 – $150,000 per year
Work Authorization: ,

Client: Tavant Technologies
Industry: Information Technology / Enterprise Products

Job Summary

Tavant Technologies is seeking a Senior Data Scientist – GenAI / RAG to join its Enterprise Products team. The ideal candidate will have a strong foundation in traditional Data Science and Machine Learning, combined with hands-on experience developing Generative AI, Large Language Model (LLM), Retrieval-Augmented Generation (RAG), and Agentic AI solutions.

The candidate should be experienced in applying advanced analytical and machine learning techniques to complex business problems, working with large datasets, and translating data-driven insights into scalable enterprise solutions.

Experience in the Energy, Utilities, Oil & Gas, Renewable Energy, or Natural Resources domain is highly preferred.

The successful candidate should also be comfortable collaborating with product, engineering, and business teams and communicating technical concepts effectively to both technical and non-technical stakeholders.

Key Responsibilities
  • Develop, train, evaluate, and deploy machine learning and predictive models to solve complex business problems.
  • Apply statistical analysis and advanced data science techniques to generate actionable business insights.
  • Design and implement Generative AI and LLM-based solutions for enterprise applications.
  • Develop and enhance RAG pipelines for enterprise knowledge retrieval and question-answering use cases.
  • Contribute to Agentic AI workflows and intelligent enterprise solutions where applicable.
  • Analyze large and complex datasets to identify trends, patterns, opportunities, and business risks.
  • Collaborate with Product Managers, Software Engineers, Data Engineers, and business stakeholders to integrate AI/ML solutions into enterprise products.
  • Develop scalable data science solutions using modern cloud and big-data technologies.
  • Evaluate model performance and continuously improve accuracy, reliability, and scalability.
  • Communicate analytical findings, model results, and recommendations clearly to technical and non-technical stakeholders.
  • Support production deployment, monitoring, troubleshooting, and optimization of ML and GenAI solutions.
  • Stay current with emerging developments in Machine Learning, Generative AI, LLMs, RAG, and data science technologies.
  • Provide technical guidance and mentorship to junior data scientists when required.
Required Qualifications
  • 7+ years of professional experience in Data Science / Machine Learning.
  • Strong programming experience with Python or R.
  • Strong understanding of Machine Learning, statistical modeling, and predictive analytics.
  • Hands-on experience with machine learning frameworks such as:
    • Scikit-learn
    • XGBoost
    • CatBoost
    • TensorFlow
    • PyTorch
  • Hands-on experience with Generative AI and Large Language Models (LLMs).
  • Strong practical experience developing RAG / Retrieval-Augmented Generation solutions.
  • Experience with LLM evaluation, LLMOps, or MLOps is highly desirable.
  • Experience with big-data technologies such as Databricks, Snowflake, Spark, or PySpark.
  • Strong SQL and database experience.
  • Experience working with large-scale datasets and data pipelines.
  • Experience with at least one major cloud platform such as AWS, Azure, or Google Cloud.
  • Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience in the Energy / Utilities / Oil & Gas / Renewable Energy / Natural Resources industry.
  • Experience supporting enterprise products or large-scale enterprise applications.
  • Experience with Agentic AI / AI Agents and frameworks such as LangChain or LangGraph.
  • Experience with vector databases and semantic search.
  • Experience with ML model deployment, monitoring, and lifecycle management.
  • Master''s or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative discipline.
  • Experience working directly with customers or business stakeholders.
Preferred Industry Background

Candidates with experience supporting organizations in the following areas are highly preferred:

Utilities / Grid

  • Duke Energy
  • NextEra Energy
  • Southern Company
  • Exelon
  • National Grid
  • PG&E

Oil & Gas / Natural Resources

  • Schlumberger / SLB
  • Halliburton
  • Chevron
  • ConocoPhillips

Energy Technology

  • Hanwha Qcells

Consulting – Energy Practices

  • Accenture
  • Deloitte
  • Capgemini
Core Technical Skills

Data Science:
Python, R, SQL, Statistical Modeling, Predictive Analytics, Machine Learning

Machine Learning:
Scikit-learn, XGBoost, CatBoost, TensorFlow, PyTorch

Generative AI:
GenAI, LLMs, RAG, Retrieval-Augmented Generation, Agentic AI

Big Data:
Databricks, Snowflake, Apache Spark, PySpark

MLOps / LLMOps:
MLflow, Model Evaluation, Model Monitoring, Model Deployment

Cloud:
AWS, Azure, Google Cloud

Visualization:
Power BI, Tableau

Ideal Candidate Profile

The ideal candidate is not purely a GenAI/LLM engineer or an academic Data Scientist. We are looking for someone who combines:

Traditional Data Science + Machine Learning + GenAI/LLM + RAG + Enterprise Product Experience

Candidates with direct Energy-domain experience and the ability to communicate effectively with customers and business stakeholders will receive strong preference.

Please submit candidates with recent, hands-on experience in Data Science, Machine Learning, and GenAI/RAG.

Apply