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Full Stack Developer (ReactJS, NodeJS & Python) (Irving)
Full Stack Developer (ReactJS, NodeJS & Python) (Irving)MethodHub • Irving, TX, United States
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Full Stack Developer (ReactJS, NodeJS & Python) (Irving)

Full Stack Developer (ReactJS, NodeJS & Python) (Irving)

MethodHub • Irving, TX, United States
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Full Stack Developer (ReactJS, NodeJS & Python)

Hybrid / Location : (2-3 times a week, onsite starting next year very flexible)

Southlake, Irving, or Richardson, TX

Basking Ridge, NJ

Duration : 12-24+ months (High possibility for extensions)

About the Role : We are looking to streamline the process and increase resource output, with quick bug / fixes by integrating AI into the overall CI / CD pipeline.

Responsibilities : Perform front end development and programming to automate the build processes.

MUST HAVE Experience :

  • Utilizing ReactJS
  • Utilize CSS to create visually appealing applications
  • Implement Redux for large-scale projects
  • Utilize Git and GitHub for code collaboration and version control
  • Utilize Nodejs to build scalable applications on the server side
  • Utilize NPM to install and manage project dependencies
  • Utilize JavaScript, including JSX, Typescript, NextJS, and ES6 experience
  • Experience with Python scripting
  • Experience or familiarity with MongoDB or Postgres
  • Experience with Ansible
  • Some Java experience (NOT looking for a dedicated Java Developer)

NICE TO HAVE SKILLS :

Machine learning fundamentals :

  • Familiarity with supervised and unsupervised learning concepts
  • Knowledge of regression, classification, clustering, and dimensionality reduction techniques

    • Deep learning frameworks :

  • Experience with TensorFlow, Keras, or PyTorch
  • Familiarity with neural network architectures like CNNs, RNNs, and LSTMs

    • Natural Language Processing (NLP) :

  • Familiarity with NLP libraries like NLTK, spaCy, or genism
  • Experience with text processing, sentiment analysis, and topic modeling

    • Cloud platforms and deployment :

  • Experience with cloud platforms like AWS, Google Cloud, or Azure
  • Familiarity with containerization using Docker and deployment using Kubernetes

    • Perform required testing and validation, including :

  • Testing frameworks like Pytest or Unit test
  • Validation techniques like cross-validation and hyperparameter tuning
  • Familiarity with AI for development efficiency
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