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Senior Full Stack Machine Learning Engineer Jobs in Texas

Redolent, Inc.

Sr. Full Stack Engineer

Irving, TX · On-site

Job Title: Sr. Full Stack Engineer Location: Irving, TX (Preferred) | Minneapolis, MN | Chandler ... Experience developing machine learning solutions using diverse datasets, including AI model ...

Redolent, Inc.

Senior Full Stack Engineer

Irving, TX · On-site

Senior Full Stack Engineer Location: Irving, TX (preferred), Minneapolis, Chandler, Charlotte ... Experience developing machine learning solutions using diverse datasets, including advanced AI ...

Inorsa

Senior Full Stack Engineer

Austin, TX · On-site

They are seeking a Senior Full Stack Engineer to lead and build scalable systems, guide product ... machine learning models • Previous work on internal platforms, automation, or infrastructure ...

Inorsa

Senior Full Stack Engineer

Austin, TX · On-site

They are seeking a Senior Full Stack Engineer who will lead and build scalable systems, guide ... machine learning models • Previous work on internal platforms, automation, or infrastructure ...

Vytwo

Sr Full Stack Developer

Prosper, TX · On-site

$50/hr

Role: Sr. Full Stack Developer Client Location: Minneapolis, MN Hybrid Work *Airlines Experience is a must Position requires Onsite Interview, local talent preferred. No C2C / Subcontracting We are ...

Inorsa

Senior Full Stack Engineer

Austin, TX · On-site

... engineers. Responsibilities : • Design and implement scalable systems across our full stack ... machine learning models • Previous work on internal platforms, automation, or infrastructure ...

Apex Informatics

Full stack Developer

Plano, TX · On-site

Sr Full stack Developer Location: Plano, TX ( 3 days onsite 2 days remote) Only W2 candidate's required (look for nearby Candidates) Must Have Skills: Sr full stack developer (heavier back end) - ...

IntelliTask LLC

Senior Full Stack Developer

Austin, TX · On-site

Senior Full Stack Developer Location: Austin, TX - 5 Days Onsite Duration: 6-12 Months Contract Job ... Engineer with 7-10+ years of professional software engineering experience to join a fast-paced ...

New

Retail Industry

Sr Full Stack Developer

Prosper, TX · Hybrid

$50/hr

Role: Sr. Full Stack Developer Client Location: Minneapolis, MN Hybrid Work *Airlines Experience is a must Position requires Onsite Interview, local talent preferred. No C2C / Subcontracting We are ...

Photon

Senior Full Stack Developer

Dallas, TX · On-site

Senior Full Stack Developer Location : Irving, TX (Onsite) Key Responsibilities: Design, develop, and maintain end-to-end web applications using Java and Angular Architect and implement scalable ...

Trunk Tools, Inc.

Senior Full Stack Engineer

Austin, TX · On-site

$166K - $215K/yr

Collaborate closely with machine learning/vision engineers, LLM domain experts, and our ... Both sessions will be attended by a panel of two senior engineers. Our full-stack interview covers ...

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Senior Full Stack Machine Learning Engineer information

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Texas?

The most popular types of Full Stack Machine Learning Engineer jobs in Texas are:

What cities in Texas are hiring for Senior Full Stack Machine Learning Engineer jobs?

Cities in Texas with the most Senior Full Stack Machine Learning Engineer job openings:

Senior Full Stack Machine Learning Engineer jobs near you

Sr. Full Stack Engineer

Redolent, Inc.

Irving, TX • On-site

Contractor

Re-posted 20 days ago

Job description

Job Title: Sr. Full Stack Engineer
Location: Irving, TX (Preferred) | Minneapolis, MN | Chandler, AZ | Charlotte, NC (Alternate Locations)
Work Model: Hybrid (3 Days Onsite / 2 Days Remote)
Job Overview
We are seeking an experienced Sr. Full Stack Engineer with a strong background in full-stack application development, cloud technologies, AI/ML, and modern software engineering practices. The ideal candidate will have hands-on experience building scalable applications using Python and React while leveraging cloud platforms and DevOps methodologies to deliver high-quality solutions.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
  • Strong hands-on experience in full-stack software engineering.
  • Proficiency in Python for backend/application development and React for frontend/UI development.
  • Experience building and consuming REST APIs, microservices, and distributed systems.
  • Hands-on experience with Microsoft Azure development and deployment, along with solution design experience in AWS and/or Google Cloud Platform (GCP).
  • Experience developing machine learning solutions using diverse datasets, including AI model development, evaluation, optimization, and deployment.
  • Experience building or integrating chatbots or conversational AI solutions.
  • Strong understanding of cloud architecture, software design, application security, scalability, and performance.
  • Experience with DevOps practices and tools, including CI/CD, Infrastructure as Code (IaC), automated deployments, environment management, monitoring, and release support across cloud platforms.
  • Experience working with relational, NoSQL, and vector databases.
Preferred Qualifications
  • Experience with Azure Machine Learning, Azure Functions, Azure App Services, Azure DevOps, AWS Lambda, SageMaker, Google Vertex AI, Cloud Run, or similar cloud services.
  • Experience with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), or prompt orchestration frameworks.
  • Experience designing multi-cloud application architectures and integration patterns.
  • Familiarity with Docker, Kubernetes, and container-based deployment models.
  • Experience with MLOps, model lifecycle management, and production monitoring.
  • Experience working with relational, NoSQL, and vector databases.
  • Strong communication, collaboration, and solution design skills with cross-functional teams.
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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media

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