IBM Infrastructure is looking to solve the problem of heterogeneous environments, explosion of data, digital automation, and cybersecurity threats by providing hybrid cloud infrastructure
Requirements
- 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
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras)
- Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP)
Responsibilities
- contribute to the design, development, and implementation of AI solutions
- collect, clean, analyze, and visualize data to support business decisions
- build models helping to create predictive models, generate insights and help optimize company performance
- work with Senior Developers to design, develop, and implement AI solutions
- look for ways to efficiently collect, clean, analyze, and visualize data
- support real-world applications across enterprise systems
- collaborate with different business units and teams to balance priorities
Other
- Bachelor's Degree
- Strong analytical and problem-solving skills
- Ability to be creative, a forward-thinker and to focus on innovation that matters
- Collaboration is key to IBM Infrastructure success
- Growth minded culture with career development opportunities
