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    Machine Learning Engineer - Hyderabad, India - AI Educator

    AI Educator
    AI Educator Hyderabad, India

    6 days ago

    Default job background
    Education / Training
    Description

    Company Description

    Discover the revolutionary E-learning platform for Maths - AI Educator AI Educator aims to offer personalized learning experiences, making learning accessible, inclusive, and student-centered. The platform seamlessly integrates into both in-school and out-of-school hours and offers personalized learning experiences catering to each student's individual needs and learning styles. Get ready for a convenient, effective, and fun way to learn with AI Educator

    Role Description

    This is a full-time on-site role for a Machine Learning Engineer at AI Educator located in Hyderabad. As a Machine Learning Engineer, you will develop and implement machine learning algorithms and models. Your day-to-day tasks will involve working on pattern recognition, computer science, neural networks, statistics, and algorithms. You will collaborate with cross-functional teams to integrate machine learning capabilities into the AI Educator platform.

    Responsibilities

    • Design, develop, and deploy machine learning models that are tailored to specific business needs.
    • Stay updated with the latest developments in AI and machine learning technologies.
    • Perform data preprocessing, conduct exploratory data analysis, and implement feature engineering to optimize inputs for machine learning models.
    • Continuously optimize machine learning models to improve performance and efficiency across various metrics.

    Qualifications

    • Strong background in pattern recognition, computer science, and statistics
    • At least two years of professional experience in building and deploying machine learning models.
    • Expertise in Python programming and familiarity with its key data structures.
    • Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, and Matplotlib.
    • Experience with deep learning architectures, including CNNs, RNNs, and LSTMs.
    • Good understanding of Natural Language Processing (NLP) and transformer models like BERT.
    • Familiarity with large language models (LLMs) such as GPT and their associated frameworks.
    • Knowledge of data preprocessing and feature engineering techniques
    • Strong problem-solving and analytical skills
    • Excellent communication and collaboration abilities
    • Experience in the education or e-learning industry is a plus
    • Bachelor's degree in Computer Science, Engineering, or a related field
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