Data Scientist & AI ELH - RTP 2027

IBM; San Diego (CA); On-site; USD 65,000 - 90,000; Full time

Job summary

IBM is seeking an enthusiastic Junior Developer to contribute to the AI and Data Science development team. This role focuses on designing, developing, and implementing AI solutions, with strong data collection, cleaning, analysis, and visualization to inform business decisions.

The candidate should have a solid foundation in machine learning and software engineering, and a willingness to grow in a collaborative, innovation-driven environment.

Qualifications

• Proficiency in Python with ML libraries (NumPy, pandas, scikit-learn).
• Solid ML algorithm knowledge and model evaluation skills.
• Experience with Git and collaborative workflows.

Responsibilities

• Contribute to design, development, and implementation of AI solutions.
• Work with senior developers to build models and generate insights.
• Prepare data via cleaning, transformation, and visualization to support decisions.

Skills

Python

NumPy

pandas

scikit-learn

ML algorithms

model evaluation

Git

data preprocessing

software engineering

analytical skills

Tools

PyTorch

TensorFlow

Keras

Docker

REST APIs

AWS

Azure

GCP

Kubeflow

MLflow

Job description

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?

Your Role And Responsibilities

We are seeking a motivated and technically skilled early-career professional to join our AI and Data Science development team. As a Junior Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to efficiently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work with Senior Developers to build models helping to create predictive models, generate insights and help optimize company performance.

Required Technical And Professional Expertise

• Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn.
• Solid understanding of machine learning algorithms and model evaluation techniques.
• Experience with Git and collaborative development workflows.
• Ability to work with structured and unstructured data, including preprocessing and transformation.
• Familiarity with software engineering principles and debugging practices.
• Strong analytical and problem-solving skills.

Preferred Technical And Professional Experience

• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
• Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP).
• Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines).
• Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimization.
• Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift).
• Awareness of ethical AI principles, including fairness, transparency, and bias mitigation.