Cisco Machine Learning Engineer Security AI 

United States, Georgia, Atlanta 

21290994

Application window is expected to close on November 15, 2024.

Who You Are

You are a passionate Machine Learning Engineer who is building their career through successfully building, fine tuning and deploying ML models that address real-world problems. You will have experience in the following areas:

Problem-Specific Model Customization: Experience adapting neural network architectures like GANs (Generative Adversarial Networks), Autoencoders, and Transformers or developing novel architectures to address unique challenges in different domains (e.g., NLP, computer vision, time series analysis).

Proficiency in NLP and LLM: Including experience with BERT, GPT, or similar, to effectively derive insights from structured and/or unstructured text data. Building custom real-world production NLP models for tasks like text generation or text summarization is a strong plus.

Innovative Solution Development: Ability to apply deep learning techniques innovatively to solve complex problems, often combining domain knowledge (from cybersecurity or other domains) and out-of-the-box thinking.

Model Scalability and Efficiency: Expertise in developing models that can be deployed in different environments, including understanding trade-offs between model complexity and performance.

What You Will Do

In this role, you will tackle some of the most challenging issues facing businesses today. You will do this through:

Model Development: Develop and implement advanced ML models and algorithms to tackle security problems, including threat detection, anomaly detection, and risk assessment.

Model Training and Evaluation: Lead the training, validation, and fine-tuning ML models using current techniques and libraries. Define and track security-specific metrics for model performance.

Solution Development: Build robust software systems to integrate, deploy, and maintain advanced ML models in production environments.

Documentation and Best Practices: Establish an effective process for machine learning and security operations, and maintain clear documentation of models, data pipelines, and security procedures.

Basic Qualifications

• Bachelors degree with 5+ years (or) Masters degree with 3+ years (or) PhD degree with 1+ year of software development industry experience
• 2+ years of industry experience in machine learning to include building, fine tuning and deploying machine learning models into production
• 2+ years of experience with machine learning libraries such as TensorFlow, PyTorch,or Skit-learn

Preferred Qualifications

• Experience in machine learning algorithms, deep learning, and statistical modeling.
• Experience in NLP and LLMs
• Experience in GenAI
• Proficient in cloud services for deploying models at scale
• Excellent problem-solving and communication skills, with the ability to explain complex concepts to non-technical teammates.