Data Engineer-Machine Learning

Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.

Your Role and Responsibilities

We are seeking a talented and passionate Junior Machine Learning Engineer to join our team. In this role, you will contribute to the development and implementation of machine learning models and algorithms. You will work closely with experienced data scientists and engineers to learn and grow your skills in this dynamic field.

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.

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 Expertise

• Experience with deep learning frameworks (TensorFlow, PyTorch).
• Knowledge of cloud platforms (AWS, Azure).
• Exposure to big data technologies (Hadoop, Spark).
• Participation in machine learning competitions or projects.