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Remote Full Stack Machine Learning Engineer Jobs in Texas

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

Electronic Arts

Machine Learning Engineer III

Austin, TX · On-site +1

$122K - $158K/yr

The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data ... You will follow a hybrid work model with a mix of remote work and in-office collaboration. This ...

New

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

Your work will span the full machine learning lifecycle--from extracting and transforming data from ... Working closely with engineering, analytics, data science, and product teams, you'll take our ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Striveworks

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Opportunities to conduct mission-critical field work This position offers a fully remote work ... Experience with a variety of unstructured data types (e.g., imagery, full motion video, text ...

Striveworks

Staff Machine Learning Engineer

Austin, TX · On-site +1

This position offers a fully remote work environment, or you can work hybrid/on site at our office ... Experience with complex and varied data types, such as multi-spectral imagery, full motion video ...

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site +1

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large ... Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to ...

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All JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Texas

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:
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Texas? For Remote Full Stack Machine Learning Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Texas look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Texas are:
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

Performacentric

Dallas, TX • On-site, Remote

Full-time

Posted 12 days ago

Job description

Full Stack Developer (React, Python & FastAPI)

Location: Remote (Preferred: Philippines, Latin America, or North America)
Employment Type: Full-Time / Contract
Company: Performacentric

About Performacentric

Performacentric helps small and mid-market organizations improve profitability, efficiency, visibility, and customer performance through custom AI solutions, intelligent automation, and connected business systems. We build AI agents, copilots, integrations, and business applications that eliminate manual processes and enable faster, data-driven decision making.

We are seeking a highly motivated Full Stack Developer to help design, build, and maintain modern web applications and AI-powered solutions for our clients and internal platforms.

Position Overview

The Full Stack Developer will be responsible for building and maintaining applications across the entire technology stack, including frontend user interfaces, backend APIs, database architecture, and cloud deployment.

The ideal candidate is equally comfortable developing modern React applications and building scalable Python/FastAPI backend services. Candidates with experience in machine learning, large language models (LLMs), AI agents, and PostgreSQL will receive strong consideration.

This position offers the opportunity to work on cutting-edge AI initiatives, business automation platforms, and next-generation enterprise applications.

Key ResponsibilitiesFrontend Development
  • Design and develop responsive web applications using React.
  • Build reusable UI components and front-end libraries.
  • Consume REST and GraphQL APIs.
  • Optimize applications for performance, scalability, and usability.
  • Collaborate with designers and stakeholders to create exceptional user experiences.
Backend Development
  • Develop and maintain APIs using Python and FastAPI.
  • Design scalable microservices and backend architectures.
  • Implement authentication, authorization, and security best practices.
  • Build integrations with third-party platforms and business applications.
  • Create automated workflows and data processing pipelines.
Database Development
  • Design and optimize PostgreSQL databases.
  • Develop efficient queries, indexes, and stored procedures.
  • Support data migration and ETL processes.
  • Ensure data integrity, security, and performance.
AI & Automation Development
  • Assist in the development of AI agents and copilots.
  • Integrate Large Language Models (LLMs) into business applications.
  • Build retrieval-augmented generation (RAG) solutions.
  • Support prompt engineering and AI workflow automation.
  • Develop integrations between AI services and enterprise systems.
DevOps & Quality
  • Participate in CI/CD pipeline development and maintenance.
  • Perform testing, debugging, and code reviews.
  • Monitor application performance and reliability.
  • Contribute to cloud infrastructure and deployment automation.
Required Qualifications
  • 3+ years of professional software development experience.
  • Strong proficiency in React.
  • Strong proficiency in Python.
  • Experience building APIs using FastAPI.
  • Experience with HTML5, CSS3, JavaScript, and TypeScript.
  • Familiarity with Git and GitHub-based development workflows.
  • Understanding of RESTful API design principles.
  • Experience working with relational databases.
  • Strong problem-solving and debugging skills.
  • Excellent written and verbal English communication skills.
Preferred Qualifications

Candidates possessing one or more of the following will receive preference:

  • Experience with PostgreSQL.
  • Machine Learning Engineering experience.
  • Experience deploying or fine-tuning open-source LLMs.
  • Experience with Llama models and related tooling.
  • Experience building AI agents and autonomous workflows.
  • Knowledge of vector databases and RAG architectures.
  • Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
  • Experience with Docker and containerized deployments.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with CI/CD pipelines and DevOps practices.
  • Familiarity with n8n or workflow automation platforms.
Technical StackRequired
  • React
  • Python
  • FastAPI
  • Git/GitHub
  • REST APIs
  • HTML/CSS/JavaScript
Preferred
  • PostgreSQL
  • Llama LLM
  • LangChain
  • LlamaIndex
  • Docker
  • AWS
  • Azure
  • Vector Databases
  • Machine Learning Frameworks
Success Metrics

The successful candidate will:

  • Deliver production-ready features on schedule.
  • Develop scalable and maintainable code.
  • Build reliable APIs and integrations.
  • Contribute to AI-powered applications and automation solutions.
  • Maintain high standards for code quality, testing, and documentation.
  • Collaborate effectively across technical and business teams.
What We Offer
  • Opportunity to work on cutting-edge AI and automation projects.
  • Exposure to modern AI agent and LLM technologies.
  • Flexible remote work environment.
  • Opportunity for career growth within a rapidly growing AI-focused company.
  • Direct collaboration with company leadership and clients.
  • Meaningful impact on products that help businesses transform how they operate.
How to Apply

Please submit:

  1. Resume/CV
  2. GitHub profile (required)
  3. Portfolio or examples of recent projects
  4. Brief description of your experience with React, Python, FastAPI, PostgreSQL, and AI/ML technologies
  5. Any experience deploying or working with Llama-based LLMs or AI agents

Performacentric is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.