Python Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer in Richardson, TX, with a contract duration of 12-24+ months at a W2 hourly rate. Key skills include Python 3.x, OOP, data analysis libraries, and Agile methodologies. Experience with machine learning and cloud platforms is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 24, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Richardson, TX
🧠 - Skills detailed
#GIT #Programming #SpaCy #Visualization #Version Control #Docker #Agile #Supervised Learning #AWS (Amazon Web Services) #Keras #Classification #Cloud #Deep Learning #Kubernetes #ML (Machine Learning) #Matplotlib #Regression #Libraries #TensorFlow #AI (Artificial Intelligence) #Python #NLTK (Natural Language Toolkit) #Plotly #PyTorch #Deployment #Clustering #NumPy #Data Analysis #Azure #Unsupervised Learning #NLP (Natural Language Processing) #Pandas #Pytest #Sentiment Analysis
Role description

Python Developer

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