CBTS
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Sr. Technical Recruiter / Client Partner @ CBTS | Solutions Integrator
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 increasing resource output, helping with quick bug fixes by integrating AI into their overall CI/CD pipeline. Responsibilities: Perform development 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 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 gensim 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 Seniority level
Associate Employment type
Contract Job function
Information Technology Telecommunications
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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 increasing resource output, helping with quick bug fixes by integrating AI into their overall CI/CD pipeline. Responsibilities: Perform development 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 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 gensim 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 Seniority level
Associate Employment type
Contract Job function
Information Technology Telecommunications
#J-18808-Ljbffr