The company is looking to leverage data analytics to improve business performance for both customers and the company itself, and is seeking a Senior/Lead Machine Learning Engineer to drive technical efforts in building robust AI/ML solutions.
Requirements
- 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)
Responsibilities
- Help to define and implement the Cisco Network Platform data science team's AI/ML priorities
- Explore, design and implement sophisticated models and model architectures
- 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
- 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
- Supervise team members' technical designs and set the standard for modeling and code quality
Other
- 8+ years related industry experience, or equivalent time in relevant Masters or PhD programs
- Strong written and verbal communication skills and excellent attention to detail and accuracy
- Ability to work autonomously and drive technical efforts
- Ability to mentor team members and provide technical guidance
