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Cisco Business Systems Analysis Manager AI United States, California, San Jose 864169403
06.03.2025
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The application window is expected to close on: 2/24/25
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
- Deep Knowledge of LLM Architecture: Comprehensive understanding of the architecture underlying large language models, such as Transformer-based models, including GPT (Generative Pre-trained Transformer), and their variants.
- Language Model Training and Fine-Tuning: Experience in training large-scale language models from scratch, as well as fine-tuning pre-trained models for specific applications or domains. Experience with Agentic frameworks a plus.
- Data Preprocessing for NLP: Skills in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encodings.
- Transfer Learning and Adaptation: Proficiency in applying transfer learning techniques to adapt existing LLMs to new languages, domains, or specific business needs.
- Handling Ambiguity and Context in Text: Ability to design models that effectively handle ambiguities, nuances, and context in natural language processing.
- Application of LLMs: Experience in creatively applying LLM technology in diverse areas such as chatbots, content creation, semantic search, and more.
- Data Annotation and Evaluation: Skills in designing and implementing data annotation strategies for training LLMs and evaluating their performance using appropriate metrics.
- Scalability and Deployment: Experience in scaling LLMs for production environments, ensuring efficiency and robustness in deployment.
- Implement and maintain all AI Ops pipeline to automate tasks such as data collection, model training and deployment.
- BA / BS degree with 7+ years of experience (or) MS degree with 5+ years of experience as a machine learning engineer or equivalent
- 3+ years of solid experience in machine learning engineering
- 3+ years of experience in programming with Python
- Proven expertise demonstrated by implementing at least 3 projects involving machine learning algorithms, deep learning, and statistical modeling
- Demonstrated proficiency in using at least two machine learning libraries such as TensorFlow, pyTorch, or scikit-learn, evidenced by at least 3 projects or applications
- Excellent problem-solving and communication abilities, capable of conveying sophisticated concepts to non-technical collaborators
- Consistent track record to work collaboratively in multi-functional teams
- The capacity to think critically and take on sophisticated, innovative problems in the field.
- A willingness to continuously learn and adapt, crucial in the ever-evolving field of AI
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