Artificial Intelligence Intern

1 week ago

Noida, Uttar Pradesh, India Attero Full time ₹ 4,00,000 - ₹ 8,00,000 per year

Job Summary:

We are seeking a motivated and detail-oriented
AI Intern
to join our team. The intern will work on cutting-edge AI projects and assist in developing machine learning models, data analysis, and automating processes. This is an excellent opportunity for individuals who are passionate about artificial intelligence, data science, and machine learning and are looking to gain practical experience in a professional setting.

Key Responsibilities:

  • Assist in the development and implementation of
    AI/ML algorithms
    and models.
  • Analyze large datasets to identify patterns, trends, and insights to improve model performance.
  • Support the research and development of new machine learning techniques and tools.
  • Collaborate with data scientists, engineers, and other team members to build AI-driven solutions.
  • Help in the automation of tasks and processes using AI technologies.
  • Document and present findings, results, and progress to the team.
  • Stay updated with the latest trends, tools, and best practices in AI and machine learning.

Qualifications:

  • Currently pursuing a degree in
    Computer Science, Data Science, Artificial Intelligence, Machine Learning
    , or a related field.
  • Strong understanding of
    machine learning concepts
    and
    AI algorithms
    .
  • Familiarity with programming languages such as
    Python
    ,
    R
    , or
    Java
    .
  • Knowledge of popular machine learning frameworks such as
    TensorFlow
    ,
    Py Torch
    , or
    scikit-learn
    .
  • Experience with data analysis and visualization tools like
    Pandas
    ,
    NumPy
    , and
    Matplotlib
    .
  • Strong problem-solving and analytical skills.
  • Ability to work independently and in a team environment.

Preferred Qualifications:

  • Experience working with
    large datasets
    and
    data preprocessing
    .
  • Basic understanding of
    deep learning
    and
    neural networks
    .
  • Familiarity with cloud platforms like
    AWS
    ,
    Azure
    , or
    Google Cloud
    .
  • Knowledge of
    NLP (Natural Language Processing)
    ,
    Computer Vision
    , or other AI applications is a plus.

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