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    Ai / Machine Learning Engineer

    Principal Machine Learning Engineer, AI

    Dipali ShahBy Dipali ShahOctober 16, 2025002 Mins Read
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    Principal Machine Learning Engineer, AI
    Principal Machine Learning Engineer, AI
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    🏒 Company Overview:
    Amazon is a world leader in artificial intelligence, e-commerce, and cloud computing technologies. With a mission to use innovation to simplify lives, Amazon continues to push the boundaries of what’s possible with AI-driven solutions that impact millions globally. The company fosters a culture of learning, creativity, and excellence.

    πŸ’Ό Job Details:

    • Employment type: Full Time
    • Experience: 8+ Years
    • Salary: 7.8L to 9L Yeraly
    • Location: Work For Home
    • Work timing: 8:45 AM to 5:45 PM
    • Working Days: 5 Days
    • Education: Any Degree

    πŸ“ Job Description:
    Amazon is seeking a Principal Machine Learning Engineer to lead the design and development of next-generation AI models and systems. The role involves working with vast datasets, developing scalable ML pipelines, and collaborating with research and engineering teams to create real-world AI applications that power Amazon’s platforms and products.

    πŸ”‘ Key Responsibilities:

    • Lead the development of machine learning models, AI algorithms, and data pipelines for large-scale systems.
    • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers.
    • Evaluate and implement state-of-the-art research in deep learning, NLP, computer vision, or recommendation systems.
    • Drive architecture discussions, model deployment strategies, and optimization techniques.
    • Mentor junior ML engineers and contribute to Amazon’s AI best practices.
    • Translate complex research ideas into practical and scalable business solutions.

    πŸ› οΈ Required Skills & Qualifications:

    • Proven experience as a Machine Learning Engineer, AI Scientist, or Applied Researcher.
    • Strong programming skills in Python, Java, or C++, with expertise in frameworks like TensorFlow, PyTorch, or Scikit-learn.
    • Deep understanding of algorithms, data structures, and statistical modeling.
    • Experience in cloud-based ML environments (AWS, SageMaker, or equivalent).
    • Ph.D. or Master’s degree in Computer Science, Machine Learning, Data Science, or related field.
    • Excellent problem-solving, analytical, and communication skills.

    🌟 Benefits:

    • Work on cutting-edge AI projects impacting millions of customers.
    • Access to advanced computing resources and data at scale.
    • Flexible work arrangements and a collaborative environment.
    • Learning and career development opportunities with global AI leaders.
    • Inclusive workplace culture promoting innovation and growth.
    Apply Now

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    Dipali Shah

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