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2 Days ago

Data Scientist

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Bangalore, Karnataka, India
Information Technology
Full-Time
IBM

Overview

Introduction

A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions.

Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.

IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive

Your Role And Responsibilities

  • Oversee the design, development, and deployment of Machine Learning models and AI solutions.
  • Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
  • Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

  • 3+ years of experience in Data Science and Machine Learning
  • Proven track record of delivering large-scale AI/ML projects, focusing on in-depth model evaluation and feedback data analysis.
  • Experience with Generative AI and Large Language Models is highly desirable.
  • Proficiency in programming languages such as Python, R, or Scala.
  • Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).

Preferred Technical And Professional Experience

  • Passionate about how AI can change software development and motivated to turn this into a reality.
  • Strong leadership and team management skills with the ability to inspire and motivate.
  • Excellent communication skills, capable of conveying complex ideas to a variety of audiences.
  • Proven ability to work collaboratively across departments.
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