Enable job alerts via email!

Lead Machine Learning Engineer, Ops (Lead, MLE Ops) - Meraki

Cisco Systems, Inc.

San Francisco (CA)

Hybrid

USD 241,000 - 307,000

Full time

3 days ago
Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

Cisco Meraki seeks a Lead Machine Learning Engineer to drive AI/ML initiatives, collaborating with executives to enhance product development. The role involves defining AI priorities, implementing models, and mentoring a data science team. Ideal candidates will have significant industry experience and expertise in Python or Scala, alongside strong communication skills.

Qualifications

  • 8+ years of industry experience or equivalent advanced degrees.
  • Experience designing large-scale ML frameworks and models.
  • Familiarity with ML libraries like Pandas, Scikit-Learn, TensorFlow.

Responsibilities

  • Define and implement AI/ML priorities for the data science team.
  • Design sophisticated models and architectures.
  • Supervise and mentor team members.

Skills

Python
Scala
SQL
Machine Learning Architecture
Data Processing
Distributed Computing
Cloud AI/ML Infrastructure
Containerization
Communication Skills

Education

Advanced degree in relevant field

Job description

Lead Machine Learning Engineer, Ops (Lead, MLE Ops) - Meraki

Location: [Specify location]

Compensation Range: $241,300 USD - $306,700 USD

Job Type: Professional

Area of Interest: AI or Artificial Intelligence

Job Id: 1440216

Cisco Meraki is revolutionizing how IT administrators manage their infrastructure by providing simple, secure cloud-managed solutions. With a large install base and rich data sets, there is enormous potential for data analytics to enhance business performance for our customers and ourselves.

About the role

Our growing data science team works closely with executives and leaders to support business strategy. As a Lead Machine Learning Engineer, you will leverage rigorous AI/ML methods to deliver value and enable data-driven product development. This role is ideal for someone hands-on, autonomous, and capable of driving technical efforts to build robust AI/ML solutions. If you enjoy applying data science skills to massive interconnected datasets with immediate business impact, this role is for you!

What You Will Do
  • Define and implement the AI/ML priorities for the Cisco Network Platform data science team, collaborating with product managers, AI architects, designers, user researchers, and engineering teams.
  • Design and implement sophisticated models and architectures.
  • Understand data schemas to recommend data models, evaluation, and governance processes.
  • Establish best practices for model integration and deployment using CI/CD principles.
  • Evaluate AI models through rigorous testing, experimentation, and benchmarking.
  • Address complex and novel product and engineering challenges creatively.
  • Influence architectural decisions focusing on security, scalability, and performance.
  • Collaborate across teams to define and build features across the product portfolio.
  • Work with managers to set team objectives and key results.
  • Supervise and mentor team members, setting standards for modeling and code quality.
What Skills You Possess
  • 8+ years of industry experience or equivalent in relevant advanced degrees.
  • Proficiency in Python or Scala, and SQL querying.
  • Experience designing and implementing large-scale ML frameworks and models.
  • Familiarity with data processing and ML libraries like Pandas, Scikit-Learn, TensorFlow, Keras, etc.
  • Experience deploying and monitoring scalable data and ML pipelines.
  • Knowledge of distributed computing engines (e.g., Apache Spark) and real-time data streaming (e.g., Kafka, Kinesis).
  • Experience with cloud-based AI/ML infrastructure (AWS preferred).
  • Knowledge of containerization (Docker), orchestration (K8s), and CI/CD (GitLab).
  • Strong communication skills and attention to detail.
Bonus Points For
  • Experience with GenAI frameworks like LangChain, Jarvis, Amazon Bedrock.
  • Experience maintaining scalable MLOps platforms and supporting production systems.
  • Analytics or AI/ML experience within the networking domain.

Cisco is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, national origin, or other protected categories. We accommodate individuals with disabilities during the application and employment process.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.