Vacancies

Job Summary: We are seeking a skilled Machine Learning Engineering Intern to join our team. The ideal candidate will have a passion for developing and implementing state-of-the-art machine learning algorithms for image recognition and natural language processing tasks. In this role, you will use various machine learning libraries such as PyTorch, Keras, TensorFlow, and state-of-the-art natural language processing algorithms and libraries, such as FastText, flairNLP, NLTK, and spaCy, to develop, train, and evaluate machine learning models.

 

Responsibilities:

• Design, develop, and implement machine learning algorithms for image recognition and natural language processing tasks.
• Use machine learning libraries such as PyTorch, Keras, TensorFlow to build and train models.
• Use state-of-the-art natural language processing algorithms and libraries, such as FastText, flairNLP, NLTK, spaCy, to build and train NLP models.
• Collaborate with cross-functional teams to collect and pre-process data and ensure data quality.
• Evaluate and improve the accuracy and efficiency of existing models.
• Keep up to date with the latest developments in the field of machine learning and natural language processing and integrate them into our product development cycle.

 

Requirements:

• Must be currently enrolled in a computer science or related program and eligible for internship credit.
• Strong proficiency in Python programming and machine learning libraries such as PyTorch, Keras, TensorFlow.
• Strong understanding of natural language processing algorithms and libraries such as FastText, flairNLP, NLTK, spaCy.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

 

Work Schedule and Location:

• Full-time internship with flexible work hours.
• This position is fully remote.

 

Compensation:

• This is an unpaid internship for academic credit.
• Opportunities for growth, mentorship, and learning from experienced professionals.