Artificial Intelligence Developer

Job Title:

Location:

Employment Type:

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

  .