π Deep Learning Internship: Build the Future of AI (6 Months)
Company : Coders Art, Noida, Uttar Pradesh
Are you obsessed with how neural networks are reshaping the world? Whether it's mastering Computer Vision or diving deep into NLP, we are looking for a Deep Learning Intern who doesn't just use libraries but understands the math and logic behind them.
This isn’t your average internship. You’ll be building, testing, and deploying models that solve real-life problems while contributing to the global AI knowledge base.
Click here to skip to the application details and apply now.π§ The Technical Challenge
We are looking for a "builder" mindset. You’ll be working with the industry's most powerful frameworks—TensorFlow, PyTorch, and Keras—to push the boundaries of what’s possible.
Your Toolkit will include:
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Architectures: CNNs, LSTMs, RNNs, DNNs, and Bi-LSTMs.
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Techniques: Transfer Learning, GANs, and Image Processing.
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Deployment: Taking models out of the notebook and into the real world.
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Documentation: Keeping a clear record of your breakthroughs and experiments.
π What You’ll Be Doing
Your role is a unique hybrid of R&D, Engineering, and Education:
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Model Building: Designing and implementing probabilistic matching algorithms and information extraction models.
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Applied Research: Digging into the latest Machine Learning topics to author high-impact technical articles for our platforms.
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Hands-on Coding: Crafting clean, efficient code snippets in Jupyter Notebooks.
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Vision & NLP: Solving complex object detection, image classification, and recognition problems.
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Automation: Using active learning and automated approaches for data labeling and augmentation.
π Who You Are
We are looking for candidates who possess a deep love for quantitative discipline and practical application.
Minimum Qualifications:
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A Master’s or PhD in Statistics, Applied Mathematics, or a similar quantitative field (or equivalent practical experience).
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Prior experience with Data Analysis (Internships or personal projects count!).
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Proficiency in Python and statistical software (R, SAS, or similar).
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Experience with SQL for database management.
Preferred:
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B.Tech or Master’s in relevant technical fields.
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A passion for mentoring others and providing online code assistance.
π The Perks (Life at the Lab)
We believe great work happens when you're comfortable and supported.
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Flexible Environment: 5 days a week with flexible work hours and an informal dress code.
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Fuel for Thought: Free snacks and beverages to keep the brain firing.
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Career Growth: Earn a Certificate and a formal Letter of Recommendation upon successful completion.
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Mentorship: Real-world experience in code mentoring and educational solutions.
How to Apply
If you’re ready to implement LSTMs from scratch and tackle GANs for transfer learning, we want to see your portfolio.
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