PingWind Inc. (SDVOSB)

Junior Artificial Intelligence / Machine Learning Engineer

PingWind Inc. (SDVOSB)

internship

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Junior

Tech Stack

AWSAzureCloudCyber SecurityGoogle Cloud PlatformKerasNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

  • Assist in collecting, cleaning, and preprocessing structured and unstructured data for use in machine learning models.
  • Support the design, training, testing, and deployment of machine learning and deep learning models for real-world applications.
  • Collaborate with senior engineers and cross-functional teams to identify, extract, and engineer relevant features for model performance.
  • Analyze and evaluate model performance using appropriate metrics; help optimize models for accuracy and efficiency.
  • Contribute to the integration and deployment of ML models into production environments using APIs or deployment pipelines.
  • Stay current with the latest AI/ML trends, tools, and best practices; experiment with innovative techniques under guidance.
  • Document datasets, models, experiments, and code to ensure reproducibility and knowledge sharing.
  • Communicate technical concepts effectively to both technical and non-technical stakeholders.

Requirements

  • Active student working towards a Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • Proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Strong understanding of linear algebra, probability, statistics, and optimization techniques.
  • Understanding of data manipulation tools (e.g., pandas, NumPy) and data visualization libraries (e.g., Matplotlib, Seaborn).
  • Knowledge of version control systems (e.g., Git) for collaborative development.
  • Analytical mindset and a passion for solving complex problems.
  • Excellent communication and teamwork skills.
  • Preferred: Understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices; Familiarity with Agile and DevOps; Exposure to NLP, computer vision, or cybersecurity; Internship or project experience in AI/ML.
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