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AI/ML Engineer

SN Cloud SolutionsPhoenix, AZ🇺🇸United StatesPosted Oct 20, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Phoenix, AZ, United States
Posted
18 hours ago
SQLGitAWSNLPNumPyScikit-learnDeep LearningGoogle CloudJupyterPandasPyTorchPythonTensorFlowGenerative AIAzureMachine LearningData Analysis

Job Description

Job Description

We are looking for an AI/ML Engineer with a strong understanding of Artificial Intelligence and Machine Learning concepts. The ideal candidate should have experience developing machine learning models, analyzing data, and implementing AI-driven solutions. Python programming experience is preferred.

Responsibilities

  • Develop, train, test, and optimize machine learning models.
  • Apply machine learning algorithms to solve business problems and improve predictive accuracy.
  • Perform data preprocessing, data cleaning, feature engineering, and exploratory data analysis.
  • Work with structured and unstructured datasets to identify patterns and insights.
  • Implement supervised and unsupervised machine learning techniques.
  • Evaluate model performance and fine-tune algorithms for improved results.
  • Collaborate with data scientists, software engineers, and business teams to develop AI/ML solutions.
  • Support the deployment, monitoring, and maintenance of machine learning models.
  • Explore AI technologies, deep learning, and natural language processing as needed.
  • Document model development, testing, and implementation processes.

Required Skills

  • Knowledge of Artificial Intelligence and Machine Learning concepts.
  • Understanding of supervised and unsupervised learning algorithms.
  • Experience in model training, testing, evaluation, and optimization.
  • Knowledge of data preprocessing, feature engineering, and statistical analysis.
  • Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Strong analytical and problem-solving skills.

Preferred Skills

  • Python programming experience preferred.
  • Familiarity with Pandas, NumPy, and Jupyter Notebook.
  • Knowledge of SQL and database fundamentals.
  • Exposure to Deep Learning, NLP, or Generative AI.
  • Familiarity with Git and cloud platforms such as AWS, Azure, or Google Cloud Platform.

 

 

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