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Sparta Systems

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Intern Bachelors AI

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Summary

AI/ML internship in Bengaluru: collaborate with cross-functional teams to design AI solutions, develop and implement machine-learning models, and analyze/visualize data for business insights, using Python (or Java/C++) with frameworks like TensorFlow, PyTorch, or Keras.

We are looking for a highly motivated and talented individual to join our team as an Intern Bachelor's AI. The ideal candidate will have a strong foundation in artificial intelligence and machine learning, with excellent problem-solving skills.


Roles and Responsibility
  • Collaborate with cross-functional teams to design and develop innovative AI solutions.
  • Develop and implement machine learning models using various algorithms and techniques.
  • Work on data analysis and visualization to drive business insights.
  • Participate in code reviews and contribute to improving the overall quality of the codebase.
  • Stay updated with industry trends and advancements in AI and machine learning.
  • Apply AI and ML techniques to solve complex problems and improve processes.


Job Requirements
  • Strong understanding of AI concepts, including machine learning, deep learning, and natural language processing.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with AI frameworks such as TensorFlow, PyTorch, or Keras.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork skills.
  • Ability to work in a fast-paced environment and adapt to changing priorities.


About Company
SpartaSystems is a leading company in the field of artificial intelligence and machine learning, committed to developing innovative solutions that drive business growth. We provide a dynamic and supportive work environment, with opportunities for professional development and growth.


This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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