Senior AI/ML Developer

Introduction

Join IBM Software and be a part of the cutting-edge AI revolution. IBM Software is dedicated to creating the world’s leading AI-powered, cloud-native software solutions. Our software helps clients and business partners leverage massive data from applications and systems to create better, faster, and more secure solutions. Running on Red Hat OpenShift and Enterprise Linux, we are committed to addressing the most critical requirements of the digital transformation era.

Your Role and Responsibilities

• Conduct thorough research on new algorithms, models, and tools to stay ahead of AI innovations.
• Develop and optimize machine learning models for IBM Rapid Network Automation, integrating with various applications.
• Write efficient and scalable Python code to support new AI functionalities.
• Collaborate with cross-functional teams to define product requirements and deliver solutions.
• Develop and maintain MLOps pipelines for training, validating, testing, and deploying machine learning models.
• Mentor junior team members and contribute to the growth of the team’s AI expertise.
• Occasionally participate in conferences, give talks, and contribute to the AI community.

Required Technical and Professional Expertise

• Bachelor’s Degree in Computer Science, AI, or a related field
• 3+ years of experience coding and debugging in Python
• Proven interest in generative AI, natural language processing, or computer vision.
• Strong foundation in statistics and familiarity with common ML algorithms.
• Ability to deploy and maintain AI/ML models in production, ensuring performance and scalability.
• Experience with machine learning techniques and tools such as scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch
• Experience with micro-service architecture and development
• Strong analytical and problem-solving skills
• Fluent in written and spoken English

Preferred Technical And Professional Expertise

• Working knowledge of building machine learning and deep learning models
• Experience with coding in other languages (e.g., Go, Java, Spring, NodeJS) is a plus
• Familiarity with containerized environments (Docker/K8S/OpenShift)
• Experience with cloud environments
• Exposure to build and test automation
• Good knowledge of networking concepts
• Familiarity with low-code automation platforms
• Familiarity with performance profiling and benchmarking

About Business Unit

IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.