AI-ML Intern

AI–ML Intern

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About JUARA IT Solutions

India, the United Kingdom, the United States, and Australia

IT Staff Augmentation, Cloud Solutions, Cybersecurity, and Device-as-a-Service (DaaS)

connect skilled talent with top global opportunities

empower professionals through technology-driven careers

Role Overview

AI–ML Interns

Artificial Intelligence (AI)

Machine Learning (ML)

Data Science

AI–ML Intern

data analysis, model training, automation, and AI-driven problem-solving

Key Responsibilities

• Assist in developing and training machine learning and AI models.
• Support data collection, cleaning, and feature engineering tasks.
• Perform exploratory data analysis (EDA) to derive insights and patterns.
• Collaborate with the development team to integrate ML models into applications.
• Research and implement latest AI/ML algorithms, frameworks, and tools.
• Document findings, experiments, and results effectively.
• Participate in team brainstorming and prototype development sessions.
  

Required Skills

• Strong foundation in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch.
• Basic understanding of Machine Learning concepts (supervised/unsupervised learning, regression, classification, etc.).
• Familiarity with data preprocessing, EDA, and visualization tools (Matplotlib, Seaborn, Power BI, etc.).
• Good analytical, problem-solving, and logical thinking abilities.
• Eagerness to learn, explore, and apply new AI–ML techniques.
• Excellent communication and teamwork skills.
  

Educational Qualification

• Bachelor’s or Master’s Degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
• Final-year students or recent graduates are encouraged to apply.
  

What We Offer

• Internship Certificate upon successful completion.
• Hands-on experience with real-time AI and ML projects.
• Mentorship from senior data scientists and AI engineers.
• Exposure to practical, business-oriented AI applications.
• Performance-based incentives.
• Opportunity for full-time employment based on performance.