Lead/Senior Machine Learning Engineer, Cisco Meraki

• 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

Desirable

• 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 Senior/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