Description

You will build and deploy machine learning models to solve complex data problems.

This role is on-site.

Responsibilities

• Apply machine learning foundations including dimensionality reduction, clustering, embeddings, and sequence classification.
• Implement Natural Language Processing methods using relevant libraries.
• Build and deploy ML models to solve complex data challenges.

Required Skills

• 10+ years of hands-on experience in machine learning.
• Proficiency with deep learning frameworks: PyTorch, TensorFlow, and Hugging Face.
• Practical experience with NLP methods and libraries such as spaCy, word2vec, Flair, and BERT.
• Experience utilizing Keras.
• Strong foundation in sequence classification algorithms.

Key Skills

Education

Any Graduate