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Remote Full Stack Machine Learning Engineer Jobs in Texas

Hopper

... LI-REMOTE Perks and benefits of working with us: * Well-funded and proven startup with large ... By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its ...

Hopper

... LI-REMOTE Perks and benefits of working with us: * Well-funded and proven startup with large ... By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its ...

Hired Recruiters

Full Stack Engineer

Austin, TX · On-site +1

As a full stack software engineer at the company, you'll work on various user-facing applications and tools for data management, annotation, and mapping. You will: * Work closely with design and ...

Vogo

Senior Full Stack Engineer

Dallas, TX · On-site +1

From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers ... About this Role Vogo is seeking a hands-on Senior Full Stack Engineer to work across our frontend ...

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Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
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:
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What cities in Texas are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in Texas with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you
Full Stack Developer (Remote Opportunity)

Full Stack Developer (Remote Opportunity)

VetsEZ

Dallas, TX • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

VetsEZ is seeking a Mid-Level Full Stack Software Developer to support the modernization and sustainment of enterprise applications within the Department of Veterans Affairs (VA) environment. This role contributes to the design, development, and maintenance of secure, scalable, and cloud-hosted web applications supporting critical healthcare and operational systems.

The ideal candidate is a strong hands-on developer with experience across the full stack who also demonstrates the ability to leverage AI tools and capabilities to enhance software development, testing, and delivery efficiency.

The candidate must reside within the continental US.

Responsibilities

  • Design, develop, and maintain full-stack web applications using .NET (Framework and/or .NET Core), ASP.NET MVC, C#, JavaScript, HTML, and CSS
  • Build responsive, accessible, and user-friendly interfaces aligned with Section 508 standards
  • Develop and maintain backend services and APIs to support application functionality and integrations
  • Write clean, maintainable, and testable code using established coding standards and best practices
  • Perform debugging, troubleshooting, and performance optimization across environments
  • Develop and execute unit tests and support automated testing efforts
  • Collaborate with cross-functional teams using Jira and Confluence for task tracking, documentation, and knowledge sharing
  • Participate in Agile ceremonies including sprint planning, backlog refinement, and retrospectives
  • Contribute to system documentation, including technical designs and implementation details
  • Support deployment, monitoring, and maintenance activities in cloud environments (Azure preferred)

AI-Enabled Development Responsibilities

  • Leverage AI-assisted development tools (e.g., GitHub Copilot or similar) to improve code quality, development speed, and problem-solving
  • Integrate AI capabilities into applications where appropriate (e.g., AI APIs, NLP services, automation features)
  • Utilize AI-driven tools to enhance testing, including test case generation, code analysis, and defect detection
  • Apply prompt engineering and structured AI usage to support development workflows and documentation
  • Evaluate and recommend AI tools, frameworks, or services that improve team productivity and software quality
  • Ensure responsible and secure use of AI in compliance with enterprise and federal guidelines

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
  • 5+ years of professional full-stack development experience
  • Strong proficiency in: NET Framework and/or .NET Core, ASP.NET MVC, C#, JavaScript, HTML and CSS, MS SQL Server development
  • Experience with debugging, unit testing, and delivering production-quality code
  • Experience working in Agile environments using tools such as Jira and Confluence
  • Familiarity with cloud platforms (Azure preferred)
  • Understanding of secure coding practices
  • U.S. citizenship and ability to obtain and maintain a Public Trust clearance

Additional Qualifications:

  • Experience integrating AI capabilities into applications (e.g., OpenAI APIs, Azure AI services, or similar frameworks)
  • Familiarity with AI-assisted development workflows and tooling
  • Experience with automated testing frameworks and CI/CD pipelines
  • Experience with Azure services (App Services, Key Vault, Application Insights)
  • Experience with Windows Server environments
  • Familiarity with VA systems or federal healthcare environments
  • Exposure to DevSecOps practices and infrastructure-as-code

Technical Environment:

  • NET Framework / .NET Core
  • ASP.NET MVC
  • C#, JavaScript, HTML, CSS
  • MS SQL Server
  • Azure Cloud Services
  • Jira, Confluence
  • CI/CD and DevSecOps toolchains

Benefits:

  • Medical/Dental/Vision
  • 401k with Matching
  • Corporate Laptop
  • PTO + Federal Holidays
  • Training opportunities
  • Remote opportunity

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME

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