LEAD / SENIOR MACHINE LEARNING ENGINEER

Join to apply for the Lead / Senior Machine Learning Engineer role at Cisco Meraki .Get AI-powered advice on this job and more exclusive features.About The RoleWe, the data science team, are growing and work closely with executives to support business strategy. As a Senior / Lead Machine Learning Engineer , you will utilize rigorous AI / ML methods to deliver value and enable data-driven product development. This role is ideal for a hands-on individual capable of working autonomously and driving technical efforts to build robust AI / ML solutions, especially with large interconnected datasets that have immediate business impact.What You Will DoDefine and implement AI / ML priorities for the Cisco Network Platform data science team, collaborating with product managers, AI architects, designers, user researchers, and engineering partners.Design and implement sophisticated models and architectures.Understand data schemas to recommend data models, evaluation, and governance processes.Establish approaches for model integration and deployment using CI / CD principles.Evaluate AI model performance through rigorous testing, experimentation, and benchmarking.Resolve complex engineering challenges with ingenuity and creativity.Influence architectural decisions focusing on security, scalability, and performance.Collaborate across teams to develop features within the product portfolio.Work with managers to set team objectives and key results.Supervise technical designs and set standards for modeling and coding quality.Mentor team members with technical guidance.What Skills You Possess8+ years of industry experience or relevant academic experience (Masters or PhD).Proficiency in Python or Scala and SQL.Experience designing large-scale machine learning frameworks and models.Knowledge of data processing and ML libraries like Pandas, Scikit-Learn, TensorFlow, Keras.Experience deploying scalable data and ML pipelines.Familiarity with distributed computing engines like Apache Spark and real-time streaming services like Kafka or Kinesis.Experience with cloud-based AI / ML infrastructure, preferably AWS.Knowledge of containerization (Docker), orchestration (K8s), and CI / CD frameworks (GitLab).Strong communication skills and attention to detail.Bonus Points ForExperience with GenAI frameworks like LangChain, Jarvis, Amazon Bedrock.Experience maintaining scalable MLOps platforms and supporting production systems.Experience in networking domain AI / ML applications.We encourage applicants from diverse backgrounds and those who may not meet all points above to apply. We believe great teams are built on diversity.J-18808-LjbffrCreate a job alert for this searchMachine Learning Engineer • San Francisco, CA, United States #J-18808-Ljbffr