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

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

AI/ML Engineer - Remote

Houston, TX · Remote

$200 - $350/hr

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 ...

Principal AI/ML Software Engineer

Houston, TX · On-site

$128K - $172K/yr

Proficiency with Tableau, Power BI, or Python visualization libraries Experience & Education • 5+ years in data science, ML engineering, or related roles • 3+ years building NLP/generative AI ...

Collaborate with business stakeholders, data engineers, and technical teams to understand ... Experience with Scikit-learn or other Python ML libraries. * Experience with R Shiny . * Experience ...

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 ...

Lead AI/ML Developer

Houston, TX · On-site

$56.25 - $73.75/hr

Lead AI/ML Developer About the role As a Lead AI/ML Developer, you will make an impact by designing ... Python and PySpark, with experience in TensorFlow and PyTorch. • Experience with Azure DevOps, CI ...

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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 10, 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:

ML Engineer

Houston, TX • On-site

Full-time

Re-posted 25 days ago


Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to drive innovation in AI applications.
Responsibilities:
• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
• Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
• Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
• Build agents capable of operating natively on real-world audio inputs.
• Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
• Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
• Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
• Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python (TypeScript experience is a plus).
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments and infrastructure (preferably AWS).
• Strong understanding of data pipeline design, real-time inference, and model monitoring.
• Excellent communication skills with the ability to engage directly with customers and stakeholders.
• Proven experience building and deploying ML models into production environments.
• Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
• Experience with audio-focused ML projects or similar domains involving unstructured data.
• Proficiency in building scalable data pipelines for model training and evaluation.
• Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
Preferred:
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.