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.
You are an ideal candidate if you:
8+ 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
Bonus points:
Experience building scalable and production ready Generative AI solutions
Have understanding of Realtime technologies such as Kafka, ClickHouse.