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Amplework Jobs 2024 Hiring Python Developer- Bachelor’s Degree

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* Role:Python Developer
* Salary:4.5-7.5LPA(Expected)
* Location:Jaipur
* Experience:Freshers
* EducationBE/B-Tech/Bachelor’s Degree
* BatchRecent-Batches

Amplework Jobs 2024 Hiring Python Developer- Bachelor’s Degree

The detailed eligibility Criteria and application process are mentioned below.

Job Description

Key Responsibilities:

  • Develop and implement machine learning models using Python-based frameworks.
  • Collaborate with the AI team to build, train, and optimize models for various applications.
  • Utilize AI libraries such as TensorFlow, PyTorch, and spaCy to develop solutions.
  • Contribute to the design and development of AI systems that leverage large language models (LLMs) and other advanced AI techniques.
  • Work with data preprocessing, data augmentation, and model evaluation techniques.
  • Assist in AI model deployment and integration with applications.

Required AI Skills and Knowledge:

  • Basic understanding of AI concepts such as supervised and unsupervised learning, classification, clustering, and neural networks.
  • Knowledge of AI libraries and frameworks:
    • TensorFlow, PyTorch, or Keras for deep learning.
    • spaCy for natural language processing.
    • scikit-learn for traditional machine learning.
  • Familiarity with Large Language Models (LLMs), such as GPT, and their applications in natural language understanding and generation.
  • Understanding of data preprocessing techniques, feature engineering, and model evaluation metrics.
  • Awareness of AI ethics and responsible AI development practices.

Preferred Skills (Not Mandatory):

  • Exposure to cloud-based AI development platforms (e.g., Google Cloud AI, AWS AI, or Azure AI).
  • Familiarity with optimization techniques for AI model performance.
  • Understanding of deep learning architectures like CNNs, RNNs, and transformers.

 Required Programming Skills:

  • Python proficiency is essential.
  • Familiarity with Python libraries like NumPy, pandas, and matplotlib for data manipulation and visualization.
  • Experience with version control systems like Git.

Training and Development Opportunities:

  • In-depth training on AI development, including machine learning and natural language processing.
  • Exposure to Large Language Models (LLMs) and their use cases.
  • Hands-on experience with AI frameworks and tools like TensorFlow, PyTorch, and spaCy.

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