PingWind Inc. (SDVOSB)

Junior Artificial Intelligence, Machine Learning Engineer

PingWind Inc. (SDVOSB)

internship

Posted on:

Location Type: Remote

Location: 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 Qualifications
  • Understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices.
  • Familiarity with Agile methodologies and DevOps practices.
  • Exposure to natural language processing (NLP), computer vision, or cybersecurity applications is a plus.
  • Internship or project experience in AI/ML, including participation in Kaggle competitions or open-source contributions.
Benefits
  • Paid Federal Holidays
  • Robust Health & Dental Insurance Options
  • 401k with matching
  • Paid vacation and sick leave
  • Continuing education assistance
  • Short Term / Long Term Disability & Life Insurance
  • Employee Assistance Program through Sun Life Financial EAP Guidance Resources
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonTensorFlowPyTorchScikit-learnKeraslinear algebraprobabilitystatisticsoptimization techniquesdata manipulation
Soft Skills
analytical mindsetproblem solvingcommunicationteamwork