Job details
React, Node.js, Machine Learning Full Stack Developer :::: Dallas, TX (Hybrid/Onsite as required)
- Java
- Redux
- REST
- Node.js
- GraphQL
- Docker
- AWS
Posted: 2 weeks ago
Job Title: React, Node.js, Machine Learning Full Stack Developer
Location: Dallas, TX (Hybrid/Onsite as required)
Experience: 6 10 years
About the Role
We are looking for a highly skilled Full Stack Developer with expertise in React.js, Node.js, and Machine Learning to join our dynamic team. The ideal candidate should have a strong background in building scalable web applications, implementing ML models into production environments, and collaborating with cross-functional teams to deliver end-to-end solutions.
Key Responsibilities
- Design, develop, and maintain web applications using React.js (frontend) and Node.js (backend).
- Build and integrate RESTful APIs and GraphQL services for scalable applications.
- Collaborate with data scientists to deploy and optimize Machine Learning models in production.
- Work with cloud platforms (AWS/Azure/Google Cloud Platform) for deployment, monitoring, and scaling solutions.
- Ensure high performance, responsiveness, and security of applications.
- Participate in code reviews, architecture discussions, and agile ceremonies.
- Troubleshoot and debug technical issues across the stack.
Required Skills
- Strong proficiency in React.js (hooks, state management, Redux/Context API).
- Expertise in Node.js, Express.js, and REST API development.
- Hands-on experience with Machine Learning frameworks (TensorFlow, PyTorch, or Scikit-learn).
- Experience in integrating ML models into web applications.
- Strong understanding of JavaScript, TypeScript, and ES6+ features.
- Familiarity with SQL/NoSQL databases (MongoDB, PostgreSQL, MySQL).
- Proficiency in Git, CI/CD pipelines, and containerization (Docker, Kubernetes).
- Exposure to cloud services (AWS/Google Cloud Platform/Azure) for ML model deployment.
Preferred Qualifications
- Experience with MLOps practices and model lifecycle management.
- Knowledge of microservices architecture and serverless frameworks.
- Understanding of data pipelines and ETL processes.
- Strong problem-solving, analytical, and communication skills.