Carrières chez Cisco

The application window is expected to close on: Feb 28, 2025. 
Note: This job posting may close earlier if the position is filled or if a sufficient number of applications are received.

Meet the Team 

Cisco’s People, Policy & Purpose (3P) Organization is an ecosystem of strategically aligned functions, including People & Communities; Sustainability; Social Impact; Strategy, Development & Governance; Workplace Resources; Government Affairs; and Digital Impact. Together, these teams work to support Cisco’s people, establish trusted and valued partnerships with governments and global leaders, drive positive impact in our communities, and advance Cisco's purpose to Power an Inclusive Future for All.   This includes our goal to enable technical learning for 25 million people across the globe by 2030 through our Cisco Networking Academy.  

Your Impact 

As a Data Scientist/AI Engineer in the 3P Organization, you will play a pivotal role in:

• Enhance and maintain scalable, reliable data analytics pipelines.
• Build, deploy, and monitor AI learning agents to personalize and adapt Cisco Networking Academy learning experiences.
• Integrate advanced ML models into production to deliver insights, optimize workflows, and drive business transformation.
• Collaborate across teams to align AI initiatives with organizational goals, fostering innovation in learning and development.
  
  

Key Responsibilities

• Perform statistical analysis (e.g., hypothesis testing, regression, time-series modeling) to derive insights.
• Clean and preprocess datasets, handle missing data, outliers, and manage real-time data streams.
• Build, train, and deploy ML and deep learning models (e.g., CNNs, RNNs, transformers) for tasks like NLP, topic modeling, clustering, and anomaly detection.
• Design and maintain end-to-end AI pipelines with CI/CD integration and robust monitoring.
• Collaborate with teams to integrate AI/ML models via APIs using frameworks and libraries and implement scalable deployment on containerized environments (e.g., Docker, Kubernetes).
• Manage large-scale datasets using big data tools and distributed computing frameworks.
• Ensure monitoring and performance optimization of deployed models, utilizing cloud-based AI/ML solutions (Google Vertex AI, Azure Machine Learning or OpenAI, AWS SageMaker).
  
  

Minimum Qualifications

• Bachelor’s degree with 7+ years of experience, Master’s degree with 3+ years of experience, or PhD with 1+ year of experience in Computer Science, Data Science, Statistics, or related fields
• Demonstrated experience in advanced statistical methods, including hypothesis testing, regression analysis, and time-series modeling.

• Demonstrated experience in SQL, database management and data warehousing to include familiarity with ETL process for managing large datasets. 
• Demonstrated experience with Version control tools like Git/GitHub
• Demonstrated experience with APIs and integrations to include building and consuming RESTful APIs.
• Demonstrated experience deploying AI/ML models using containerized environments (e.g., Docker, Kubernetes)

Preferred Qualifications

• Programming:   Familiarity with Golang for performance-critical applications and knowledge of R, Julia, MATLAB or similar for advanced statistical computations.
• AI and ML Expertise:
• Proficiency in frameworks (Scikit-learn, TensorFlow, PyTorch) for building and deploying ML models.
• Strong knowledge of ML algorithms (e.g., SVMs, decision trees, gradient boosting, ensemble methods).
• Familiarity with pre-trained tools (Hugging Face) and transfer learning for customized applications.
• NLP and Text Analytics:
• Experience with SpaCy, NLTK, Gensim, transformers, and advanced NLP techniques (e.g., text preprocessing, sentiment analysis, clustering, anomaly detection).
• Expertise in advanced language models for multilingual or domain-specific tasks.
• Cloud-Based ML Tools:
• Hands-on experience with Google Vertex AI, Azure ML, or AWS SageMaker for managing pipelines.
• Big Data and Workflow Automation:
• Proficient in ETL processes and CI/CD workflows for streamlined production and automation.

#WeAreCisco

#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. 

Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. 

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do! 

Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!