Lead Machine Learning Engineer

Lead Machine Learning Engineer
Company:

Cisco Systems, Inc.


Details of the offer

Application window is being extended to 9/12/2024
AI at Cisco With Cisco, you're not just embracing the future - you're helping create it. We are focused on integrating AI into our solutions to transform collaboration, security, networking, observability, and more. We are innovating ethical AI products and infrastructure that enable our customers to stay ahead of cyberattacks, predict and prevent network outages, and make team meetings more productive. Our extensive data sets and broad customer reach means limitless possibilities for you to build impactful AI solutions that solve a wide array of real-world problems. Join us at Cisco where you will innovate with top AI experts and be a part of our mission to power an inclusive future for all.
Your Impact on the Team You will be a part of our Cisco Security Innovation team within the security business group. This team incubates ideas that turn into the future of Cisco's innovative security solutions. You will play a pivotal role in driving five strategic AI pillars for our latest groundbreaking innovation, Cisco Hypershield. You will bring your expertise in deep learning and GenAI models to help us build out and improve AI for assistance, anomaly-detection, policy generation, language translation, generating exploit shields and more! Here is how you will help us achieve our AI objectives…
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.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.Why Cisco Security? We're global, we're adaptable, we're diverse, and our security portfolio is as extensive as it is groundbreaking. Have you heard of Threat, Detection & Response, Zero Trust by Duo, Common Services Engineering, or Cloud & Network Security? Those are only a few of our product teams! The only thing we're missing is YOU.
Join an enterprise security leader with a start-up culture, committed to driving innovation and giving you the opportunity to make an impact. We #InnovateToWin and we know we're better together, that's why we're dedicated to inclusivity, collaboration, and diversity in everything we do.

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Source: Jobleads

Requirements

Lead Machine Learning Engineer
Company:

Cisco Systems, Inc.


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