Lead Software Engineer, Cisco Meraki

• 12+ years of professional experience in machine learning, data engineering, software engineering, Dev/Ops or related fields
• Experience in building large scale AI models and systems using MLOps practices; including deep learning models using frameworks such as Tensorflow, Keras, PyTorch
• Experience working in a team to write robust, maintainable, and extendable code in Python and/or R
• Experience with complex data sets, ETL pipelines, SQL, and general data engineering
• Expertise with cloud architecture and technologies like Amazon Web Services, Spark, Kubernetes, Docker, Jenkins, Terraform

Desirable

• As the Lead Machine Learning Engineer for Meraki Assurance, you will drive the engineering teams tasked with advancing the Network Assurance applications through machine learning and artificial intelligence solutions
• Dashboard serves as the cornerstone of the Meraki cloud ecosystem, beloved by network administrators worldwide
• Your mission will be to elevate Meraki Dashboard to new heights of innovation, leverage AI to enhance simplicity, scalability, and security, while addressing the evolving demands of administrators managing some of the largest networks globally
• Your success will hinge on your ability to guide a team of skilled ML/AI engineers, fostering a collaborative environment while building strong partnerships with engineering leaders, UX designers, product management, and security experts
• At Meraki, engineering thrives on collaboration, and you will work closely with your team and multi-functional partners to drive the development and integration of ML/AI based features into the Dashboard platform
• Work with the senior engineering leaders, product management, and others to set the technical vision for the Meraki Assurance ML/AI roadmap
• Guide ML engineering team through defining short, medium, and long-term goals to achieve the vision
• Help with the recruiting strategy to build a diverse and inclusive team: driving decisions on whom the team needs to hire
• Mentor and coach engineers through technical challenges
• Work on projects that span numerous networking domains and systems — to help our ML solutions scale by handling enormous amounts of data