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Saipureddy

AI Developer
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Location Hyderabad
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Total Views39
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Member since30+ Days ago
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Contact Details
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Candidate Information
  • User Experience
    Experience 1 Year
  • Cost
    Hourly Rate$20
  • availability
    AvailabilityImmediate
  • work from
    Work FromOffsite
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    CategoryWriting & Editing
  • back in time
    Last Active OnDecember 27, 2025
Key Skills
Training ManualsAndroid
Summary

An AI Developer is a software engineer or computer scientist who specializes in creating and implementing artificial intelligence (AI) systems. These developers work on building and deploying AI models, algorithms, and systems that allow machines to mimic human intelligence, including tasks like learning, decision-making, natural language processing, and computer vision.

Key Roles and Responsibilities:

  1. Design and Develop AI Models: They design algorithms and models that allow machines to learn from data and improve over time (e.g., neural networks, deep learning models).
  2. Data Preprocessing and Analysis: AI developers clean, prepare, and analyze data, as data is critical for training AI models.
  3. Machine Learning and Deep Learning: They implement machine learning (ML) and deep learning (DL) techniques to develop intelligent applications.
  4. Testing and Optimization: AI developers evaluate model performance, fine-tune algorithms, and optimize them for efficiency and accuracy.
  5. Integration: They integrate AI systems into existing applications, products, or services, often working alongside data scientists, engineers, and product managers.

Skills Required:

  • Programming: Proficiency in programming languages like Python, Java, or R, commonly used in AI.
  • Machine Learning Frameworks: Experience with ML libraries and frameworks like TensorFlow, PyTorch, and Scikit-learn.
  • Mathematics and Statistics: Strong understanding of algorithms, linear algebra, calculus, and statistics for model building.
  • Data Science: Knowledge of data processing, feature extraction, and data analysis techniques.
  • Problem Solving: Ability to design AI systems that solve specific business problems or real-world challenges.

Application Areas:

  • Natural Language Processing (NLP): Building systems for language understanding and generation (e.g., chatbots, translation).
  • Computer Vision: Developing systems for image and video analysis (e.g., facial recognition, autonomous driving).
  • Robotics and Automation: Implementing AI in robots to perform tasks autonomously.
  • Healthcare, Finance, etc.: AI developers are employed in various sectors to automate processes, improve decision-making, and create smarter products.

AI development is a fast-growing field, with AI developers playing a key role in advancing the capabilities of intelligent systems.

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