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Python Ml Engineer Jobs in Richmond, TX (NOW HIRING)

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Bachelor's in Engineering or Computer Science and a Master's in Information Technology ... Proficiency in Python and R, with expertise in AI/ML libraries such as TensorFlow, PyTorch, Scikit ...

AMSYS Talent

Azure OpenAI / AI Cloud Engineer

Houston, TX · On-site

$50.25 - $67.25/hr

Design, implement, and maintain Azure AI/ML environments * Deploy and manage Azure OpenAI services ... Knowledge of Python, REST APIs, and Azure DevOps Preferred Certifications * Azure AI Engineer ...

Oxy

Advisor IT Systems - AI/ML Ops

Houston, TX · On-site

... data engineering, software engineering, MLOps, or AI Ops. * Good grasp of software architecture principles and systems design * Strong proficiency in Python for productiongrade ML workflows.

Oxy

Advisor IT Systems - AI/ML Ops

Houston, TX · On-site

... engineering, MLOps, or AI Ops. * Good grasp of software architecture principles and systems design * Strong proficiency in Python for production-grade ML workflows. * Hands-on experience with AWS (e ...

Infosys Limited

Python/AWS Architect

Houston, TX · On-site

Technology|OpenSystem|Python - OpenSystem Technical Skills 2 Technology|Cloud Platform|AWS Core services Technical Skills 3 Technical Skills 4 Technology|AI Engineering|AI/ML Solution Architecture ...

Bot Auto

Senior ML/RL Engineer, Behavior Planning

Houston, TX · On-site

$99K - $137K/yr

... a Senior ML/RL Engineer to develop their unified behavioral architecture. This role involves ... Python and PyTorch; strong understanding of modern deep learning architectures and optimization ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Proficiency with Tableau, Power BI, or Python visualization libraries Education / Qualifications Experience & Education * 7+ years in data science, ML engineering, or related roles * 3+ years ...

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

Collaborates comfortably with AI scientists, ML engineers, and across functional teams. What Sets ... Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

Collaborates comfortably with AI scientists, ML engineers, and across functional teams. What Sets ... Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

NobleAI

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

Collaborates comfortably with AI scientists, ML engineers, and across functional teams. What Sets ... Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

NobleAI, Inc.

Solutions Engineer

Houston, TX · On-site

$200K - $215K/yr

Collaborates comfortably with AI scientists, ML engineers, and across functional teams. What Sets ... Python proficiency (Pandas, scikit‑learn, Plotly, Streamlit, Flask, etc) * Javascript and ...

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Showing results 41-60

All JobsPython Ml Engineer JobsPython Ml Engineer Jobs in Richmond, TX

Python Ml Engineer information

See Richmond, TX salary details

$18.7K

$114K

$164.9K

How much do python ml engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for python ml engineer in Richmond, TX is $113,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $134,000.00 per year, depending on experience, location, and employer.

What cities near Richmond, TX are hiring for Python Ml Engineer jobs?

Cities near Richmond, TX with the most Python Ml Engineer job openings:

Gen AI/ML Solution Architect

Houston, TX • On-site

Marencor
See more jobs at Marencorexternal

$60.25 - $79.25/hr

Contractor

Re-posted 3 days ago

Job description

Position: Gen AI/ML Solution Architect

Location: Houston, TX - (5 days onsite per week)
 

Notes:

  • Minimum 2-3 Project on GEN AI LLM Architect
  • Machine Learning with MLOps
  • Convert business problems to solutions

Job Summary:
We are seeking an experienced Gen AI/ML Solution Architect to lead the design, development, and deployment of advanced AI-driven solutions. The ideal candidate will have over a decade of expertise in AI, machine learning, data mining, NLP, and predictive analytics, with proven success in architecting large-scale data science solutions and delivering business impact.

 

Key Responsibilities:

  • Lead end-to-end Gen AI/ML solution architecture — from problem definition, data acquisition, and feature engineering to model deployment and monitoring.
  • Collaborate with business stakeholders to define requirements and translate them into scalable AI/ML solutions.
  • Design and implement advanced NLP systems using state-of-the-art models (BERT, ELMO, word2vec) for tasks such as sentiment analysis, named entity recognition, and topic modeling.
  • Build and integrate predictive models, leveraging cloud-based platforms such as Azure Machine Learning for forecasting and analytics.
  • Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems.
  • Implement personalized recommendation engines using cutting-edge frameworks (e.g., Semantic Kernel).
  • Ensure solutions are optimized for performance, scalability, and maintainability in production environments.
  • Mentor and guide teams on AI/ML best practices, frameworks, and emerging technologies.

 

Required Qualifications:

  • Bachelor’s in Engineering or Computer Science and a Master’s in Information Technology, Telecommunications, or a related field.
  • 14+ years of professional experience in AI, data mining, deep learning, predictive analytics, and machine learning.
  • Proven track record in the full data science project lifecycle, including data wrangling, statistical analysis, and data visualization.
  • Proficiency in Python and R, with expertise in AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, Transformers, and visualization tools (Matplotlib, Seaborn, ggplot2).
  • Strong knowledge of NLP techniques and frameworks, vector databases, and MLOps workflows.
  • Experience with cloud-based AI platforms (Azure ML, AWS Sagemaker, or GCP AI Platform).
  • Solid understanding of cognitive AI systems, intelligent automation, and decision-support systems.

 

Preferred Skills:

  • Experience with Retrieval-Augmented Generation (RAG) pipelines and Semantic Kernel integration.
  • Expertise in deploying AI solutions at enterprise scale with robust API integrations.
  • Strong communication and leadership skills for cross-functional collaboration.