Lead Machine Engineer - Meraki

Cisco Meraki is revolutionizing the way IT administrators manage their infrastructure by providing simple and secure cloud-managed solutions. With a large install base of customers and rich multifaceted data sets, the potential for data analytics to improve business performance for both our customers and our own business is enormous.

We, the data science team is a growing group that works closely with executives and leaders across the company to support the business strategy. As a Lead Machine Learning Engineer, you will use rigorous AI/ML methods to deliver value to our customers and enable data-driven product development. This would be an outstanding fit for an individual who is hands-on, has the ability to work autonomously, and can drive technical efforts building robust AI/ML solutions. If you love to apply your data science skills against massive interconnected datasets with immediate business impact, then we believe this will be the role for you!

• Help to define and implement the Cisco Network Platform data science team's AI/ML priorities while collaborating with product managers, AI architects, designers, user researchers and engineering partners
• Explore, design and implement sophisticated models and model architectures
• Understand the data and schema to make recommendations for data models, evaluation and governance process.
• Establish the best approach for model integration and deployment using CI/CD principles
• Evaluate the performance of AI models and systems through rigorous testing, online and offline experimentation, and benchmarking
• Use your ingenuity and creativity to resolve complicated and/or novel product and engineering challenges
• Influence architectural decisions with a focus on security, scalability, and high-performance
• Collaborate with data science and full stack teams across the Cisco Network Platform organization to define and build features across the product portfolio
• Work with managers and cross-functional teams to design team objectives and key results
• Supervise team members' technical designs and set the standard for modeling and code quality
• Mentor team members by providing technical guidance

• 8 years related industry experience, or equivalent time in relevant Masters or PhD programs
• Experience programming in Python or Scala and writing queries in SQL
• Experience designing and implementing large scale machine learning frameworks and models
• Experience using data processing and ML libraries such as Pandas, Scikit-Learn, Tensorflow, Keras, etc
• Experience implementing and monitoring scalable data and machine learning pipelines
• Experience working with distributed computing engines like Apache Spark, etc and real time data streaming services like Apache Kafka or Amazon Kinesis
• Experience in designing, deploying, and securing cloud-based AI/ML infrastructure (AWS Preferred)
• Experience in containerization technologies (e.g. Docker), orchestration platform (e.g. K8s), and CI/CD framework (e.g. GitLab)
• Strong written and verbal communication skills and excellent attention to detail and accuracy

• Experience with GenAI framework like LangChain, Jarvis, Amazon Bedrock etc.
• Experience maintaining scalable MLOps platforms and supporting production systems to minimize customer downtime.
• Analytics or AI/ML experience within the networking domain

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.