Description

You will design and implement machine learning solutions using distributed computing and advanced modeling techniques.

This role is on-site.

Responsibilities

• Develop machine learning models using architectures such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, and Decision Forests.
• Build and manage data processing workflows using PySpark and Hive.
• Deploy and scale workloads within Hadoop and AWS EMR environments.
• Execute experimentation and prototyping within Google Colab and Jupyter Notebook environments.

Required Skills

• 5+ years of professional experience in AI/ML roles.
• Proficiency with PySpark and Hive.
• Experience with Hadoop and AWS EMR.
• Hands-on use of Google Colab and Jupyter Notebook.
• Deep understanding of machine learning algorithms including GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, and Decision Forests.
• Bachelor's degree or equivalent graduate qualification.

Key Skills

Education

Any Graduate