Senior Software Engineer responsible for NFV solutions focusing on telecom customers at Red Hat. Collaborating on high - performance networking and cloud infrastructure projects.
About the role
- Software Developer optimizing software tools leveraging AI and ML for patent acquisition analysis. Collaborating with specialists and scientists to enhance workflows on approved platforms.
Responsibilities
- Optimize software tools on approved platforms that support high-throughput processing of patents, standards, and other technical documents.
- Optimize use of approved AI/ML models—including NLP, semantic search, classification, and similarity models—for extensive patent data analysis.
- Optimize tools on approved platforms enabling targeted and automated patent evaluation workflows.
- Gain deep familiarity with patent structures, claim formats, classification schemes (IPC/CPC), and the global IP information ecosystem
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI/ML, or a closely related technical field.
- Good experience in software development, preferably with exposure to large-scale text processing or information retrieval.
- Strong programming skills in Python, including experience building production-ready tools.
- Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers.
- Experience optimizing use of ML models.
- Familiarity with search and retrieval technologies (e.g., Elasticsearch, vector databases, embeddings-based search).
- Experience working with large datasets, databases (SQL/NoSQL), and distributed data-processing frameworks.
- Ability to collaborate effectively with cross-functional teams including data scientists and patent experts.
- It would be nice if you also had:
- Background in patent analytics, legal tech, or work involving scientific/technical literature.
- Familiarity with patent data formats, patent classifications (CPC/IPC), and citation networks.
- Exposure to multimodal data processing (text + diagrams) or OCR/OCR post-processing.
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