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? If so, lets talk.
Your Role and Responsibilities
Develop, train, and optimize machine learning models using PyTorch.
Collaborate with cross-disciplinary teams to understand requirements and formulate AI-driven solutions.
Implement state-of-the-art algorithms and contribute to the development of our AI platform.
Evaluate and improve the performance of machine learning models.
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Required Technical and Professional Expertise
- Contributions to open-source machine learning projects, especially PyTorch.
- Contribute to the codebase ensuring best practices in software development.
- Prepare and present findings to both technical and non-technical stakeholders.
Preferred Technical and Professional Expertise
- Experience with other deep learning frameworks (e.g., TensorFlow).
- Familiarity with cloud platforms (e.g., Kubernetes/OpenShift, AWS, GCP, Azure) and their machine learning services.
- Experience with distributed training technologies (e.g., FSDP).