ML Intern

0 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Company Description

PPStack is a global EdTech brand dedicated to revolutionizing education by equipping students, professionals, and organizations with the skills needed to excel in the digital age. By leveraging artificial intelligence, cutting-edge technology, and innovative teaching approaches, PPStack offers tailored solutions for career transformation and digital empowerment. Building an ecosystem that fuels innovation, the company provides diverse services such as AI-powered learning platforms, corporate training, crash courses, technology consulting, and digital branding. Trusted by learners across the globe, PPStack is committed to bridging the gap between education and industry to prepare individuals for a successful future in a rapidly evolving world.

Role Description

This is a full-time remote role for an ML (Machine Learning) Intern. As an ML Intern, you will work on developing, training, and optimizing machine learning models, performing data analysis, and assisting with research on advanced algorithms. You will contribute to real-world projects, collaborate with cross-functional teams, and learn how machine learning drives innovation in the education sector. Your role may also involve preprocessing data, implementing AI pipelines, and documenting project findings.

Qualifications

  • Strong understanding of Machine Learning concepts and algorithms, including supervised and unsupervised learning techniques
  • Proficiency in programming languages and tools like Python, TensorFlow, PyTorch, and scikit-learn
  • Experience with Data Analysis, Data Cleaning, and working with datasets
  • Problem-solving, critical thinking, and a passion for innovation
  • Ability to work independently and in collaborative, virtual team environments
  • Currently pursuing or recently completed a degree in Computer Science, Data Science, AI, or a related field
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus
  • Knowledge of deep learning, natural language processing (NLP), or computer vision is an advantage

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