HiringCafe
Posted 12m ago

Software Development Intern

@ Bana Solutions
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McLean, Virginia, United States
HybridInternship
Responsibilities:designing models, writing code, preprocessing data
Requirements Summary:Pursuing a Bachelor’s or Master’s degree in CS/SE/Data Science; basic ML concepts; proficient in at least one language (Python preferred); familiarity with ML libraries; strong problem-solving and teamwork.
Technical Tools Mentioned:Python, Java, C++, TensorFlow, PyTorch, scikit-learn, Pandas, Matplotlib, Git, AWS, Azure, GCP
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Job Description

Description

About the Role

We are seeking a motivated Software Development Intern with a strong interest in Artificial Intelligence and Machine Learning to join our team. This internship offers hands-on experience working on real-world AI/ML projects, collaborating with experienced engineers and data scientists to design, build, and deploy intelligent systems.

Key Responsibilities

  • Assist in the design, development, and implementation of AI/ML models and applications
  • Write clean, efficient, and maintainable code in languages such as Python, Java, or C++
  • Work with large datasets to preprocess, analyze, and extract meaningful insights
  • Support the training, testing, and evaluation of machine learning models
  • Collaborate with cross-functional teams to integrate ML solutions into production systems
  • Participate in code reviews, debugging, and performance optimization
  • Document processes, methodologies, and technical findings

 

Requirements

Required Qualifications

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
  • Basic understanding of machine learning concepts (e.g., supervised vs. unsupervised learning, model evaluation)
  • Proficiency in at least one programming language (preferably Python)
  • Familiarity with common ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Strong problem-solving skills and attention to detail
  • Ability to work independently and as part of a team

Preferred Qualifications

  • Experience with data analysis and visualization tools (e.g., Pandas, Matplotlib)
  • Knowledge of deep learning, natural language processing, or computer vision
  • Exposure to cloud platforms (e.g., AWS, Azure, or GCP)
  • Familiarity with version control systems (e.g., Git)
  • Previous project or coursework in AI/ML

What You’ll Gain

  • Practical experience building AI/ML solutions in a professional environment
  • Mentorship from experienced engineers and data scientists
  • Exposure to real-world challenges and industry best practices
  • Opportunity to contribute to impactful projects
  • Networking opportunities and potential for future full-time roles