CBTS

Python Developer

Richardson, TX, US

14 days ago
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Summary

Python Developer (Junior Level)

Location: Richardson, TX (onsite 2-3 times a week)

Duration: 12-24+ months (yearly extensions)

Rate: W2 hourly ( NO C2C/ 3rd parties please)



About the Project:

Our team is responsible for streamlining their process and increase resource output, helping with quick bug/fixes by integrating AI into their overall CI/CD pipeline.


Responsibilities:

Perform develop and programming within the platform including:


Required Experience:

  • Python 3.x
  • Object-oriented programming (OOP)
  • Python libraries such as NumPy, pandas, and scikit-learn
  • Data structures and algorithms
  • Data structures including arrays, linked lists, stacks, and queues
  • Algorithms like sorting, searching, and graph traversal
  • Data analysis and visualization
  • Data analysis libraries including pandas, NumPy, and Matplotlib
  • Data visualization tools like Seaborn, Plotly, or Bokeh
  • Apply standard software development methodologies
  • Leverage Agile development principles
  • Work with version control systems (Git, etc.)



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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