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Remote Full Stack Machine Learning Engineer Jobs in Orange, TX

DataAnnotation

SDLC Engineer - AI Trainer

Beaumont, TX · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Beaumont, TX · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

LyondellBasell

Process Engineer

Westlake, LA · On-site +1

The Process Engineer will also participate in plant-wide optimization and improvement opportunities ... Remote Work Policy allows eligible employees to request to work remotely up to two full days per ...

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All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Orange, TX

Remote Full Stack Machine Learning Engineer information

See Orange, TX salary details

$42.2K

$127.7K

$180.5K

How much do remote full stack machine learning engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for remote full stack machine learning engineer in Orange, TX is $127,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $149,700.00 per year, depending on experience, location, and employer.

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 cities near Orange, TX are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Orange, TX with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you
Sr. Full Stack Developer

Sr. Full Stack Developer

Seneca Resources Company, LLC

Beaumont, TX • On-site, Remote

$130K/yr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 3 days ago

Job description

Position Title: Full Stack Developer (AWS)
Location: Fully Remote - (EST/CST Preferred)
Clearance Requirements: U.S. Citizenship or Green Card required and must be eligible for Public Trust clearance
Position Status: 12+ Months Contract
Position Description: We are seeking a highly skilled Full Stack Cloud Developer to join a modernization and innovation-focused digital team supporting enterprise-scale cloud initiatives. In this role, you will collaborate with cross-functional stakeholders including product owners, UX designers, architects, and engineers to design, build, test, and deploy scalable, secure, and resilient cloud-native applications on the AWS platform.
This is a hands-on engineering role ideal for professionals who enjoy solving complex technical challenges, building modern distributed systems, and contributing to high-impact digital transformation efforts. You will play a key role in application modernization, solution prototyping, and delivering production-ready software using modern full-stack and cloud technologies.
Key Responsibilities:
  • Design, develop, test, and deploy full-stack, cloud-native applications using AWS services
  • Build scalable and secure distributed systems leveraging microservices architecture, containerization, and API-first design patterns
  • Develop frontend and backend services using Python and JavaScript-based frameworks
  • Collaborate closely with UX, DevOps, security, and product teams to deliver high-value software solutions
  • Support application modernization efforts and develop technical solution prototypes
  • Apply Agile and Scaled Agile principles to plan, build, and deliver software efficiently
  • Mentor and support team members while contributing to a collaborative engineering culture
  • Communicate technical concepts clearly to both technical and non-technical stakeholders

Required Skills / Education:
  • U.S. Citizen or Green Card holder
  • Bachelor's degree or equivalent professional experience (10+ years total experience considered in lieu of degree)
  • 6+ years of hands-on full-stack application development experience
  • 3+ years of cloud application development experience on AWS
  • Strong proficiency in Python and JavaScript (must-have skills)
  • Backend framework experience with Django or equivalents such as Flask, FastAPI, Falcon, or SQLAlchemy
  • Frontend framework experience with Vue.js or equivalents such as React, Angular (v1.6+), or Svelte
  • Experience building cloud-native, API-driven applications
  • Strong understanding of Agile methodologies and experience working in Agile delivery environments
  • Ability to work independently while collaborating effectively with distributed teams

Nice to Have:
  • AWS Certifications (Developer or Solutions Architect)
  • Experience with Docker, Kubernetes/EKS, AWS Lambda, API Gateway, Step Functions, EventBridge
  • Knowledge of CI/CD pipelines, DevSecOps practices, and automation tooling
  • Experience with RDS (PostgreSQL), MongoDB, Redis, Memcached, Elasticsearch
  • Familiarity with AWS Well-Architected Framework and Serverless Application Model (SAM)
  • Experience supporting technical documentation, white papers, or solution design for proposals
  • Excellent written and verbal communication skills

About Seneca Resources: At Seneca Resources, we are more than a staffing and consulting firm-we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we connect top talent with impactful opportunities that drive career growth.
When you work with Seneca, you gain access to meaningful projects, competitive compensation, comprehensive health, dental, and vision benefits, 401(k) retirement plans, and a dedicated recruiting team that advocates for your success. We are proud to be an Equal Opportunity Employer and are committed to building a diverse, inclusive workforce where all qualified individuals are encouraged to apply.

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