IBM is a technology and consulting company focused on AI, cloud computing, and enterprise systems. IBM is seeking an early-career professional to develop and implement AI solutions, collect and analyze data, build predictive models, generate insights, and help optimize company performance.
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
Qualification
Required
Bachelor's Degree
• 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
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship
Preferred
• 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
Benefit
Hybrid work arrangement
Ability to learn and develop yourself and your career
Continuous trust and support in an environment where everyone can thrive
On-going feedback to help other IBMers grow
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions.
