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AI/ML Engineer (Hybrid)
Cisco
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About this role
The application window is expected to close on: 08/16/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received .
This role is performed within RTP, North Carolina OR alternate locations (Austin, San Jose or Richardson) as a hybrid work model.
Meet the Team
Cisco Cloudx team is a dynamic group of developers, Solutions Architects, and data engineers dedicated to supporting Cisco’s public cloud infrastructure and operations. As part of the Cloud Management and Operations (CMO) team within Cisco IT, we build the platforms and automations that enable governance, operational efficiency, cost management, and security guardrails across Cisco’s public cloud environments.
Your Impact
As a Software Engineer specialized in AI/ML, you will guide the architecture, design, and development of our Cloud platforms and automations ensuring high standards of security, performance, and scalability. You’ll champion technology innovation, mentor your development team, and collaborate with stakeholders to deliver business-critical features that shape the future of Cisco's public cloud journey. You will: • Design and implement highly scalable, multi-threaded, and distributed applications. • Design and implement AI Agents to monitor and optimize cloud resources based on findings and recommendations from Cloud Service Providers. • Integrate AI-driven insights with Cloud Service Providers like AWS, GCP, Azure, and existing data and tools. • Ensure robust performance, reliability, and security for cloud-based deployments. • Conduct code reviews and offer constructive feedback to ensure code quality and team growth. • Continuously optimize processes to improve developer productivity and execution. • Develop predictive models for drift detection, cost anomaly detection, and forecasting of public cloud resources and spend. • Automate operational workflows using machine learning and intelligent scripting. • Design, build, and maintain scalable ETL pipelines using AWS Glue and other cloud-native services. • Use AWS Athena for interactive querying of data stored in data lakes. • Manage and optimize data storage and processing using Snowflake cloud data platform. • Orchestrate complex workflows and data pipelines using Apache Airflow DAGs. • Continuously evaluate emerging AI technologies and tools for operational improvements. • Maintain documentation and standard processes for AI/ML integration in cloud systems.
Minimum Qualifications
• 7+ years of experience in Computer Science along with Bachelor’s or Master’s Degree in Computer Science, Data Science, or related technical field. • At least 2 years of experience in building and deploying ML models focused on cloud operations. • Solid knowledge of cloud technologies (AWS, GCP, Azure, OCI). • Experience with Python, PySpark, and ML libraries such as PyTorch, TensorFlow, or Scikit-Learn. • Experience with AWS Glue ETL, AWS Athena, Snowflake, and Apache Airflow DAGs.
Preferred Qualifications
• Full stack development experience with Angular for front end and Flask for back end application development to build platforms to support our Stakeholders and Business Units within Cisco • Established record of leading technical initiatives, delivering results, and a commitment to fostering a supportive work environment. • Strong communication and multi-functional collaboration skills. • Proficient in general-purpose programming languages (Python, Golang, Bash) and development platforms and technologies. • Comfortable working with streaming data, APIs, and telemetry systems. • Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins).
Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
Message to applicants applying to work in the U.S. and/or Canada:
The starting salary range posted for this position is $139,300.00 to $203,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies: • 10 paid holidays per full calendar year,
Salary insight
The midpoint of this range ($171k) is about 14% below the median disclosed salary for San Francisco roles listed on ForgeApply ($200k across 8,413 jobs).
See full Machine Learning Engineer salary data for San Francisco →
Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.
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