Data Scientist & AI ELH - RTP 2027

IBM; San Diego (CA); On-site; USD 85,000 - 120,000; Full time

Job summary

IBM is seeking a motivated Junior Developer to join the AI and Data Science team in San Diego. You will contribute to design, development, and implementation of AI solutions, and help collect, clean, analyze, and visualize data to enable business decisions across enterprise systems.

The role emphasizes collaboration with Senior Developers, learning in a fast-paced environment, and exposure to ML model development, evaluation, and deployment using containers and REST APIs.

Qualifications

• Strong foundation in machine learning and software engineering.
• Experience with data collection, cleaning, analysis, and visualization.
• Familiarity with ML model development and evaluation.
• Exposure to deploying models via APIs and containers.

Responsibilities

• Contribute to design, development and implementation of AI solutions.
• Collaborate with senior developers to build models for predictive insights.
• Prepare data and experiment tracking to support business decisions.

Skills

Python

NumPy

Pandas

scikit-learn

Git

Data preprocessing

Software engineering fundamentals

Analytical thinking

Tools

Docker

REST APIs

Kubernetes

OpenShift

MLflow

Kubeflow

AWS

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 effienciently 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.