Machine Learning Engineer

at  Cisco Systems

MINIMUM QUALIFICATIONS

• Bachelor’s degree in STEM with 7+ years of relevant experience (or) Master’s degree in STEM with 4+ years of relevant experience (or) PhD in STEM with 1+ years of relevant experience
• 4+ years of experience coding in Python, R, Java, C++ or similar
• Experience using machine learning libraries (e.g, TensorFlow, PyTorch, Scikit-Learn etc.) for model selection, tuning, data visualization and/or data preprocessing
• Experience using techniques like feature engineering, clustering or similar for extracting patterns from data

PREFERRED QUALIFICATIONS

• Experience developing Large Language Models and Natural Language Processing (LLM’s and NLP)
• Experience in mode tuning using RLHF, DPO, LoRA
• Experience supporting firewalls, secure web gateways, and/or SASE/SSE
• Knowledgeable of ML algorithms and use cases including any prior exposure to MLOps

• Develop and implement advanced machine learning models, including adapting neural network architectures or creating novel ones to address challenges.
• Drive the training, validation, and fine-tuning of models, developing methods to identify performance metrics in security.
• Implement robust software systems for integrating and maintaining machine learning models
• Collaborate with software engineering teams to design primary deployment strategies for machine learning models into security systems.
• Establish and maintain best practices for machine learning and security operations, including clear documentation of models and procedures.
• Analyze and extract significant patterns in high-dimensional data spaces using advanced techniques