Lead Machine Learning Engineer - Meraki
Job Description
Cisco Meraki is seeking a Lead Machine Learning Engineer to join their growing data science team, working on revolutionizing IT infrastructure management through cloud-managed solutions. This role presents an exciting opportunity to work with large-scale data sets and deliver immediate business impact through AI/ML solutions.
The position requires a seasoned professional with 8+ years of experience who will lead technical efforts in building robust AI/ML solutions. The role combines hands-on technical work with leadership responsibilities, including mentoring team members and setting standards for modeling and code quality. You'll be working with cutting-edge technologies including Python, AWS, Kubernetes, and various ML frameworks.
As a Lead ML Engineer, you'll collaborate with executives and leaders across the company to support business strategy. Your responsibilities will span from defining AI/ML priorities to implementing sophisticated models and establishing best practices for model deployment. The role requires expertise in both technical implementation and architectural decision-making, with a focus on security and scalability.
Cisco offers a comprehensive benefits package including medical, dental, and vision insurance, 401(k) with company match, disability coverage, and various time-off benefits. The compensation range of $207,700 - $264,000 reflects the company's commitment to attracting top talent in the AI/ML space.
The ideal candidate will bring strong technical skills in Python, SQL, and ML frameworks, combined with experience in cloud infrastructure and distributed computing. You'll have the opportunity to work with massive interconnected datasets while making significant contributions to product development and team growth. This role is perfect for someone who enjoys both technical challenges and leadership responsibilities in a dynamic, innovative environment.
Responsibilities For Lead Machine Learning Engineer - Meraki
- Define and implement AI/ML priorities while collaborating with cross-functional teams
- Design and implement sophisticated models and model architectures
- Make recommendations for data models, evaluation and governance process
- Establish model integration and deployment using CI/CD principles
- Evaluate AI models performance through testing and experimentation
- Influence architectural decisions focusing on security and scalability
- Supervise team members' technical designs
- Mentor team members by providing technical guidance
Requirements For Lead Machine Learning Engineer - 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 (Pandas, Scikit-Learn, Tensorflow, Keras)
- Experience implementing scalable data and machine learning pipelines
- Experience with distributed computing engines and real-time data streaming services
- Experience in designing, deploying, and securing cloud-based AI/ML infrastructure (AWS Preferred)
- Experience in containerization technologies and CI/CD framework
- Strong written and verbal communication skills
Benefits For Lead Machine Learning Engineer - Meraki
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) with company match
- Short and long-term disability coverage
- Basic life insurance
- Paid holidays
- Vacation time
- Sick time off
- Volunteer time off
