Description

You will apply machine learning and deep learning architectures to solve complex analytical problems.

This role is on-site.

Responsibilities

• Implement machine learning algorithms and deep learning architectures.
• Develop models using natural language processing (NLP) and natural language understanding (NLU).
• Work with large language models (LLMs) and AI technologies.
• Apply machine learning methods including k-Nearest Neighbors, Naive Bayes, SVM, and Decision Forests.

Required Skills

• 5+ years of experience in machine learning and AI.
• Proficiency in Python, R, or Scala.
• Advanced knowledge of machine learning algorithms.
• Experience with deep learning architectures.
• Hands-on experience with NLP and NLU.
• Practical application of Large Language Models (LLMs).
• Strong understanding of k-Nearest Neighbors, Naive Bayes, SVM, and Decision Forests.

Preferred Skills

• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate