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Role Description

This position will be remote.

Meet the Team:

• Our dedicated team members are building the future of Cisco’s AI-driven platforms and data infrastructure, supporting innovation across the globe.
• You will join teams focused on developing advanced data pipelines, machine learning infrastructure, and analytics platforms within business groups such as S&TO, Supply Chain, and Infrastructure Engineering.
• As part of this collaborative environment, you will contribute to the growth of emerging technologies in data and intelligent systems.
• Explore the opportunities at the intersection of data engineering and AI, helping to transform how Cisco and its customers harness information and intelligent automation.

Your Impact:

• Design, build, and deploy ML models using production test data to predict optical module performance and identify potential failures before they occur.
• Apply rigorous statistical methods to validate model performance.
• Extract complex datasets from production databases using SQL queries and manage the transformation of that data into a format ready for ML model training.
• Perform data hygiene, normalization, and feature engineering on manufacturing data to ensure high-quality inputs for ML training.
• Implement LLM-based solutions to analyze and summarize complex manufacturing line performance statistics.
• Develop automated tools that assist project planning personnel to make key supply chain decisions.
• Work closely with hardware, product, and project engineering teams to understand the optical module production process and ensure solutions meet defined technical requirements and deliver tangible business impact.
• Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans.

Qualifications

• Bachelors + 7 years of related experience, or Masters + 4 years of related experience, or PhD + 1 year of related experience.
• 3+ years of experience developing and deploying ML models.
• Proficient in Python and at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with LLMs and Generative AI (e.g., Hugging Face, OpenAI APIs).
• Experience with SQL and data transformation.
• Up to date on the latest AI/ML trends (e.g., Foundation Models, Diffusion Models, AutoML).
• Experience in data cleaning, normalization, and feature engineering.
• Working knowledge of statistical analysis and model validation.

Requirements

• Strong collaboration and communication skills.
• Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
• Experience with cloud ML platforms (AWS SageMaker, Google Vertex AI, Azure ML).
• Background with manufacturing, optical hardware, or IoT datasets.
• Experience with automated analytics/reporting tools.

Benefits

• Medical, dental and vision insurance.
• 401(k) plan with a Cisco matching contribution.
• Paid parental leave.
• Short and long-term disability coverage.
• Basic life insurance.
• 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees.
• 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco.
• Non-exempt employees receive 16 days of paid vacation time per full calendar year.
• Exempt employees participate in Cisco’s flexible vacation time off program.
• 80 hours of sick time off provided on hire date and each January 1st thereafter.
• Optional 10 paid days per full calendar year to volunteer.