Meet the Team The Cisco AI Software Platform Group incubates and delivers Generative AI based solutions to reinvent Cisco s existing Products and how customers interact with them Our Group is also introducing new offerings that help customers roll out Generative AI at scale while doing so responsibly Ultimately we are doing so through internal platforms that unlock the benefits of this technology for Cisco teams and partners across our Security Enterprise Networking Collaboration and Splunk portfolios Your Impact Cisco is looking for a highly expert and cutting-edge ML Operations Engineer to join our global DevOps team In this critical role you will drive the production readiness deployment and maintenance of scalable machine learning systems You will work closely with cross-functional team of data scientists software development engineers information security professionals and DevOps engineers on creating secure and resilient ML pipelines Key Responsibilities Design build and manage robust ML pipelines for training validation and deployment Build and maintain scalable infrastructure for ML experiments and inference in multiple public cloud Implement CI CD for ML systems ensuring reproducibility and traceability Advocate automation in every layer of the infrastructure stack using Infrastructure as Code IaC principles and tools such as Terraform Helm and GitOps frameworks Monitor models in production for performance degradation drift and fairness Participate in on-call rotation for ML Operations Work closely with data scientists engineers and product managers to understand requirements and integrate models into applications Minimum Qualifications Bachelors degree in Comp Science Engineering or related field industry 8 years of DevOps experience Masters 6 years of related experience or PhD 3 years of related experience Strong understanding of CI CD pipelines and automation tools Knowledge of cloud platforms AWS Azure GCP Proficiency in Python and familiarity with ML libraries e g Scikit-learn PyTorch TensorFlow etc Proven knowledge of ML lifecycle management and model versioning Preferred Qualifications Experience deploying large language models LLMs or generative AI systems Familiarity with feature stores vector databases or data observability platforms Excellent communication collaboration and mentoring skills Deep expertise in CI CD tooling and practices including hands-on experience with systems like Jenkins GitLab ArgoCD or similar Strong proficiency in Kubernetes Docker and cloud-native patterns in AWS Azure or GCP 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 Message to applicants applying to work in the U S and or Canada When available the salary range posted for this position reflects the projected hiring range for new hire full-time salaries in U S and or Canada locations not including equity or benefits For non-sales roles the hiring ranges reflect base salary only employees are also eligible to receive annual bonuses Hiring ranges for sales positions include base and incentive compensation target Individual pay is determined by the candidate s hiring location and additional factors including but not limited to skillset experience and relevant education certifications or training Applicants may not be eligible for the full salary range based on their U S or Canada hiring location The recruiter can share more details about compensation for the role in your location during the hiring process U S employees have access to quality medical dental and vision insurance a 401 k plan with a Cisco matching contribution short and long-term disability coverage basic life insurance and numerous wellbeing offerings Employees receive up to twelve paid holidays per calendar year which includes one floating holiday for non-exempt employees plus a day off for their birthday Non-Exempt new hires accrue up to 16 days of vacation time off each year at a rate of 4 92 hours per pay period Exempt new hires participate in Cisco s flexible Vacation Time Off policy which does not place a defined limit on how much vacation time eligible employees may use but is subject to availability and some business limitations All new hires are eligible for Sick Time Off subject to Cisco s Sick Time Off Policy and will have eighty 80 hours of sick time off provided on their hire date and on January 1st of each year thereafter Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours Employees in Illinois have a unique time off program designed specifically with local requirements in mind All employees also have access to paid time away to deal with critical or emergency issues We offer additional paid time to volunteer and give back to the community Employees on sales plans earn performance-based incentive pay on top of their base salary which is split between quota and non-quota components For quota-based incentive pay Cisco typically pays as follows 75 of incentive target for each 1 of revenue attainment up to 50 of quota 1 5 of incentive target for each 1 of attainment between 50 and 75 1 of incentive target for each 1 of attainment between 75 and 100 and once performance exceeds 100 attainment incentive rates are at or above 1 for each 1 of attainment with no cap on incentive compensation For non-quota-based sales performance elements such as strategic sales objectives Cisco may pay up to 125 of target Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid