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    Machine Learning Intern - Pune, India - CCTECH

    CCTECH
    CCTECH Pune, India

    3 days ago

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    Description

    We are currently seeking a motivated and passionate individual to join our team as a Machine Learning Intern. This internship offers a unique opportunity to work closely with experienced data scientists and engineers in a dynamic and innovative environment. As an ML intern, you will have the chance to contribute to cutting-edge projects, gain hands-on experience with state-of-the-art machine learning techniques, and collaborate with cross-functional teams to solve real-world challenges.


    Duration Of Internship: 4 Months

    Responsibilities:
    • Collaborate with our team of data scientists and engineers to develop and deploy machine learning models and algorithms.
    • Implement and evaluate various machine learning techniques, including supervised and unsupervised learning methods, for solving real-world problems.
    • Conduct data preprocessing, feature engineering, and model evaluation to ensure the accuracy and robustness of machine learning models.
    • Utilize deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face for developing advanced neural network architectures.
    • Work on computer vision tasks such as image processing, object detection, and tracking to extract meaningful insights from visual data.
    • Apply natural language processing techniques for text classification, natural language understanding (NLU), summarization, and similarity analysis.
    • Collaborate with cross-functional teams to integrate machine learning solutions into existing products and services.
    • Document and communicate technical concepts and findings effectively to both technical and non-technical stakeholders.


    Requirements

    • Python programming language and good with libraries like matplotlib, seaborn, pandas, and NumPy.
    • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face.
    • Hands-on experience with machine learning algorithms for supervised and unsupervised learning tasks.
    • Solid foundation of statistical concepts including inferential statistics, hypothesis testing, and probability distributions.
    • Strong understanding of Linear Algebra & Calculus.
    • Knowledge of deep learning architectures like ANN, CNN, Transformers, LLM.
    • Hands-on with one of the below deep learning domain:
      Computer Vision tasks: image processing, OCR, object detection and tracking.
      NLP tasks: text classification, summarization, similarity analysis, text-generation.
    • Strong research skills with the ability to critically analyze scientific papers and literature related to machine learning and AI.
    • Good to have experience with the below:
      Participated in Kaggle or any ML hackathons.
      Exposure to ML cloud service on AWS/Azure/GCP.
      Explored Langchain, LlamaIndex, Vector stores.



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