Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

• Assist in data preprocessing, cleaning, and exploration.
• Implement machine learning algorithms and techniques.
• Experiment with different models and parameters to optimize performance.
• Collaborate with data scientists to understand and translate business requirements into technical solutions.
• Develop and maintain machine learning pipelines.
• Stay updated with the latest advancements in machine learning.
  
  

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Strong programming skills in Python and proficiency in relevant libraries (NumPy, Pandas, Scikit-learn).
• Understanding of machine learning concepts and algorithms (linear regression, logistic regression, decision trees, random forests, etc.).
• Ability to work with large datasets and perform data analysis.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• A passion for learning and exploring new technologies.
  
  

Preferred Technical And Professional Experience

• Familiarity with Cloud Platforms: Exposure to cloud platforms such as Kubernetes, AWS, Azure, or GCP, and related services is beneficial.
• Knowledge of Relational and NoSQL Databases: Basic understanding of working with a variety of relational and NoSQL databases, including SQL, Postgres, DB2, and MongoDB.
• Understanding of Modern UI Frameworks: Interest in modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery is advantageous.
  

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