Machine Learning Intern

• Collaborate with our team of data scientists and engineers to develop and deploy machine learning models and algorithms.

• Implement and evaluate various machine learning techniques, including supervised and unsupervised learning methods, for solving real-world problems.

• Conduct data preprocessing, feature engineering, and model evaluation to ensure the accuracy and robustness of machine learning models.

• Utilize deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face for developing advanced neural network architectures.

• Work on computer vision tasks such as image processing, object detection, and tracking to extract meaningful insights from visual data.

• Apply natural language processing techniques for text classification, natural language understanding (NLU), summarization, and similarity analysis.

• Collaborate with cross-functional teams to integrate machine learning solutions into existing products and services.

• Document and communicate technical concepts and findings effectively to both technical and non-technical stakeholders.

• Python programming language and good with libraries like matplotlib, seaborn, pandas, and NumPy.

• Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face.

• Hands-on experience with machine learning algorithms for supervised and unsupervised learning tasks.

• Solid foundation of statistical concepts including inferential statistics, hypothesis testing, and probability distributions.

• Strong understanding of Linear Algebra & Calculus.

• Knowledge of deep learning architectures like ANN, CNN, Transformers, LLM.

• Hands-on with one of the below deep learning domain:

• Good to have experience with the below:

CCTECH