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On Call Machine Learning R Jobs in Texas (NOW HIRING)

Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector ... Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

Developer We can consider associates with Python and R experience. Experience range will be 3-5 years. • Hands-on experience with various machine learning algorithms like Naïve Bayes, Logistic ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) • ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Python, R, or Java Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn ...

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Strong Python or R programming skills required * Experience developing, architecting, and running ... for the AWS Certified Machine Learning - Specialty credential. * Experience with Bayesian ...

Strong Python or R programming skills required * Experience developing, architecting, and running ... for the AWS Certified Machine Learning - Specialty credential. * Experience with Bayesian ...

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). * Knowledge of machine learning techniques (i.e. classification, regression, and clustering). * Understand machine learning ...

Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). * Knowledge of machine learning techniques (i.e. classification, regression, and clustering). * Understand machine learning ...

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On Call Machine Learning R information

What is the difference between On Call Machine Learning R vs Data Scientist?

AspectOn Call Machine Learning RData Scientist
Required CredentialsTypically requires proficiency in R, statistical analysis, and some machine learning knowledgeRequires advanced degrees (often Master’s or PhD), programming skills (R, Python), and data analysis expertise
Work EnvironmentOften on-demand, project-based, or support roles within organizations or consulting firmsFull-time roles in various industries, involving data analysis, model development, and strategic insights
Employer & Industry UsageUsed by companies needing immediate machine learning support or troubleshootingEmployed across industries for data-driven decision making and predictive modeling

While both roles involve machine learning and R, On Call Machine Learning R focuses on providing immediate, project-specific support using R, whereas Data Scientists typically work on comprehensive data analysis and model development in a full-time capacity.

What are the most commonly searched types of Machine Learning R jobs in Texas? The most popular types of Machine Learning R jobs in Texas are:
What cities in Texas are hiring for On Call Machine Learning R jobs? Cities in Texas with the most On Call Machine Learning R job openings:

Other

Posted 17 days ago


Job description

Job Title

Skill: At least 3 years of experience on the following:

  • Machine Learning – Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector Machine, Ensemble techniques
  • Deep Learning - Neural networks, multilayer perceptron, word embeddings, categorical embedding, RNN and LSTM, word2vec, encoder/decoder models, attention and transformer models, transfer learning (ULMFiT), foundation models from Azure Open AI
  • Database - Snowflake, Oracle, Graph database
  • Programming & Scripting - Python, R, Unix-Shell scripting, PySpark