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    senior associate - Greater Noida, India - Coforge

    Coforge
    Coforge Greater Noida, India

    Found in: Talent IN C2 - 2 days ago

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    Description

    Job Description


    • At least having 4-6 years of experience in AIML
    • Machine Learning Algorithms: Understanding of machine learning algorithms, especially deep learning models like Transformers, is crucial. This can include various types of neural networks, optimization techniques, and loss functions.
    • Natural Language Processing (NLP): Knowledge of NLP techniques, text representation methods, and language models.
    • Programming Languages: Proficiency in languages commonly used in machine learning such as Python/R/Java/Node.
    • Library/Framework Proficiency: Familiarity with machine learning libraries like TensorFlow, PyTorch, Keras or or Scikit-learn.
    • High-Performance Computing: Understanding of parallel computing, GPU acceleration, and distributed systems for training large models.
    • Data Manipulation and Analysis: Skills in data preprocessing, transformation, and analysis are crucial, often involving libraries like Pandas, NumPy, or specialized tools for handling large datasets.
    • DevOps and Infrastructure: Knowing how to set up and maintain machine learning pipelines, from data collection to model training to inference, possibly using cloud platforms like AWS, GCP, or Azure.
    • Optimization: Understanding of both algorithmic and hardware optimization techniques to make training and inference more efficient.
    • Version Control: Proficiency with version control systems like Git to manage codebase changes.
    • Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
    • Excellent problem-solving skills and a collaborative mindset.
    • Strong communication skills to work effectively with diverse teams

    Posted On


    • At least having 4-6 years of experience in AIML
    • Machine Learning Algorithms: Understanding of machine learning algorithms, especially deep learning models like Transformers, is crucial. This can include various types of neural networks, optimization techniques, and loss functions.
    • Natural Language Processing (NLP): Knowledge of NLP techniques, text representation methods, and language models.
    • Programming Languages: Proficiency in languages commonly used in machine learning such as Python/R/Java/Node.
    • Library/Framework Proficiency: Familiarity with machine learning libraries like TensorFlow, PyTorch, Keras or or Scikit-learn.
    • High-Performance Computing: Understanding of parallel computing, GPU acceleration, and distributed systems for training large models.
    • Data Manipulation and Analysis: Skills in data preprocessing, transformation, and analysis are crucial, often involving libraries like Pandas, NumPy, or specialized tools for handling large datasets.
    • DevOps and Infrastructure: Knowing how to set up and maintain machine learning pipelines, from data collection to model training to inference, possibly using cloud platforms like AWS, GCP, or Azure.
    • Optimization: Understanding of both algorithmic and hardware optimization techniques to make training and inference more efficient.
    • Version Control: Proficiency with version control systems like Git to manage codebase changes.
    • Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
    • Excellent problem-solving skills and a collaborative mindset.
    • Strong communication skills to work effectively with diverse teams

    Skills Required

    WEB ANALYTICS

    Posted On WEB ANALYTICS Location

    Greater Noida

    Posted On Greater Noida

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