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Manager Edge Ai Machine Learning Jobs in Spring, TX

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Machine Learning with MLOps * Convert business problems to solutions Job Summary: We are seeking an ... Implement personalized recommendation engines using cutting-edge frameworks (e.g., Semantic Kernel)

Hp

AI Data Scientist

Spring, TX

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Manages relationships with business partners to evaluate and foster data driven innovation ...

Hp

Principal AI Data Scientist

Spring, TX

$147K - $230K/yr

Manages relationships with senior business partners to evaluate and foster data driven innovation ... Strong foundation in data science and core machine learning concepts. * Experience with large ...

Hp

Embedded AI/ML Developer

Spring, TX · On-site

$117K - $154K/yr

This role focuses on deploying efficient machine learning models at the edge, integrating AI ... management, and real-time execution tradeoffs. * Skilled in embedded debugging and profiling using ...

New

Varsity Tutors

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Showing results 21-40

All JobsEdge Ai Machine Learning JobsManager Edge Ai Machine Learning JobsManager Edge Ai Machine Learning Jobs in Spring, TX

Manager Edge Ai Machine Learning information

See Spring, TX salary details

$27.6K

$68.9K

$115.7K

How much do manager edge ai machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for manager edge ai machine learning in Spring, TX is $68,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $77,900.00 per year, depending on experience, location, and employer.

What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

What are popular job titles related to Manager Edge Ai Machine Learning jobs in Spring, TX?

For Manager Edge Ai Machine Learning jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Manager Edge Ai Machine Learning jobs in Spring, TX look for?

The top searched job categories for Manager Edge Ai Machine Learning jobs in Spring, TX are:

What cities near Spring, TX are hiring for Manager Edge Ai Machine Learning jobs?

Cities near Spring, TX with the most Manager Edge Ai Machine Learning job openings:

Manager Edge Ai Machine Learning jobs near you
Infographic showing various Manager Edge Ai Machine Learning job openings in Spring, TX as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $68,859 per year, or $33.1 per hour.

Gen AI/ML Solution Architect

Marencor

Houston, TX • On-site

$60.25 - $79.25/hr

Contractor

Re-posted 13 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.