Temporary Intern - AI/ML

Overview

This internship offers a unique opportunity to work on cutting-edge machine learning algorithms and their integration into software applications. Under the guidance of experienced professionals, you will contribute to real-world projects, gain hands-on experience, and expand your knowledge in the exciting field of artificial intelligence and machine learning.

Responsibilities

• Machine Learning Development: Assist in developing machine learning models for various applications, including but not limited to natural language processing, recommendation systems, and predictive analytics.
• Data Preprocessing and Analysis: Work on data preprocessing tasks such as data cleaning, feature engineering, and exploratory data analysis to prepare datasets for model training. Gain insights from data and identify patterns that can be leveraged for model development.
• Model Training and Evaluation: Participate in model training processes using machine learning libraries such as TensorFlow, PyTorch, or scikit-learn. Conduct experiments to evaluate model performance, fine-tune hyperparameters, and optimize algorithms for accuracy and efficiency.
• Integration with Software Applications: Collaborate with software developers to integrate machine learning components into software applications and platforms. Understand software requirements and design machine learning solutions that meet performance, scalability, and usability criteria.
• Testing and Validation: Assist in testing machine learning models using validation techniques such as cross-validation and holdout validation. Evaluate model robustness, reliability, and generalization performance across different datasets and use cases.

Qualifications

• Pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field.
• Strong understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, classification, regression, and clustering.
• Proficiency in at least one programming language commonly used in machine learning (Python preferred).
• Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Keras.
• Experience with data manipulation and analysis using tools like pandas, NumPy, or MATLAB.
• Solid understanding of software development principles and practices.
• Excellent problem-solving skills and attention to detail.

Base compensation range is $20.00 - 25.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

Date of posting: 05/03/2024

Applications are assessed on a rolling basis. We anticipate that the application window will close on 08/02/2024 but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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