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    Ai / Machine Learning Engineer

    AI & Machine Learning Engineer –

    Dipali ShahBy Dipali ShahOctober 16, 2025002 Mins Read
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    AI & Machine Learning Engineer - Remote
    AI & Machine Learning Engineer - RemoteAI & Machine Learning Engineer - Remote
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    🏢 Company Overview:
    Amazon is one of the world’s leading technology companies, known for its innovation in e-commerce, cloud computing, and artificial intelligence. The company fosters a forward-thinking environment where engineers and data scientists collaborate to build next-generation AI-driven solutions that transform industries and improve customer experiences.

    💼 Job Details:

    • Employment type: Full Time
    • Experience: 4+ Years
    • Salary: ₹35,000 – ₹55,000 monthly
    • Location: Remote
    • Work timing: 9:15 AM to 6:15 PM
    • Working Days: 5 Days
    • Education: Any Degree

    📝 Job Description:
    Amazon is looking for an AI & Machine Learning Engineer to design, develop, and deploy scalable machine learning models and intelligent systems. The ideal candidate will work on real-world data to create predictive analytics, natural language processing models, computer vision systems, and other AI-powered tools that enhance automation and efficiency.

    🔑 Key Responsibilities:

    • Build, train, and deploy machine learning and deep learning models for various applications
    • Collaborate with data scientists, engineers, and product teams to develop AI-based solutions
    • Research and implement cutting-edge algorithms and frameworks to solve complex business challenges
    • Optimize model performance and ensure scalability for production environments
    • Work with large datasets to extract insights and enhance data quality
    • Stay updated with the latest advancements in AI, ML, and data science technologies

    🛠️ Required Skills & Qualifications:

    • Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and related ML libraries
    • Strong understanding of machine learning algorithms, neural networks, and data structures
    • Experience with NLP, computer vision, or predictive analytics
    • Familiarity with AWS AI/ML services such as SageMaker, Rekognition, and Comprehend
    • Solid grasp of data preprocessing, feature engineering, and model evaluation techniques
    • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related fields

    🌟 Benefits:

    • Opportunity to work on innovative AI projects with global impact
    • Collaboration with top-tier AI researchers and industry experts
    • Flexible working environment (remote or hybrid options available)
    • Access to Amazon’s advanced AI and cloud computing infrastructure
    • Continuous learning and professional development opportunities
    Apply Now
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    Dipali Shah

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