Artificial Intelligence Developer

0 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

Job Title:

Location:

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About the Role:

AI Developer Intern

As an AI Developer Intern, you will assist in designing, training, and deploying intelligent models that solve practical problems. You’ll contribute to research, data processing, and model optimization while gaining deep insights into AI systems used in various industries.

Key Responsibilities:

  • Assist in

    designing, developing, and deploying AI and ML models

    for real-world applications.
  • Work with the team to

    collect, preprocess, and analyze datasets

    for training and testing models.
  • Experiment with algorithms in areas such as

    computer vision, natural language processing (NLP), and predictive analytics

    .
  • Implement and fine-tune models using frameworks like

    TensorFlow, PyTorch, or Scikit-learn

    .
  • Evaluate model performance and optimize algorithms for higher accuracy and efficiency.
  • Collaborate with software engineers and data scientists on integrating AI models into production systems.
  • Stay updated with the latest AI/ML research papers, tools, and techniques.
  • Document model development processes, results, and performance metrics.

Required Skills & Qualifications:

  • Currently pursuing or recently completed a

    Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field

    .
  • Strong understanding of

    Python programming

    and familiarity with libraries such as

    NumPy, Pandas, Matplotlib, and Scikit-learn

    .
  • Basic knowledge of

    machine learning algorithms

    , model training, and data preprocessing.
  • Familiarity with at least one

    AI/ML framework

    like

    TensorFlow, Keras, or PyTorch

    .
  • Understanding of

    data structures, statistics, and linear algebra

    .
  • Good problem-solving, analytical, and mathematical skills.
  • Ability to work collaboratively in a remote and agile team environment.
  • Eagerness to learn and apply emerging AI concepts and technologies.

Preferred Qualifications:

  • Experience working on

    AI/ML projects, research papers, or hackathons

    .
  • Exposure to

    deep learning, NLP, computer vision, or reinforcement learning

    .
  • Familiarity with

    cloud platforms

    such as

    AWS, Google Cloud, or Azure AI services

    .
  • Knowledge of

    version control systems

    like Git/GitHub.
  • Understanding of

    MLOps concepts

    , model deployment, and performance monitoring.
  • Strong interest in building intelligent systems and exploring

    AI-driven solutions

    .

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