Machine Learning Engineer, AI Platform
Job Description
Splunk
As the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.
Responsibilities
- Design, develop, and maintain AI services in our AI platform that powers all our AI products.
- Implement and optimize CI/CD pipelines for machine learning model deployment
- Architect and manage cloud infrastructure using Infrastructure as Code principles
- Collaborate with ML Engineers and Applied Scientists to build efficient model serving systems
- Monitor system performance and implement improvements for scalability
- Participate in code reviews and technical documentation
- Troubleshoot production issues and implement solutions
Required Qualifications
- US Citizenship
- Bachelor’s degree in Computer Science, Software Engineering, or related field
- 3+ years of experience in software development using languages such as Python and Golang
- Strong experience with cloud platforms (AWS, GCP, or Azure)
- Proficiency in containerization technologies (Docker, Kubernetes)
- Experience with CI/CD tools (Jenkins, GitLab CI, or similar)
- Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)
- Understanding of RESTful APIs
- Knowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databases
- Knowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)
- Experience with version control systems (Git) and collaborative development workflows
Preferred Qualifications
- Experience with machine learning frameworks (TensorFlow, PyTorch)
- Understanding of ML deployment patterns and model serving
- Familiarity with MLOps practices and tools
- Experience with automated testing and quality assurance
- Knowledge of security best practices in cloud environments
Soft Skills
- Strong problem-solving and analytical abilities
- Excellent written and verbal communication
- Ability to work independently and in a team environment
- Strong documentation skills
- Proactive approach to identifying and solving problems
- Ability to learn and adapt to new technologies quickly
Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Base Pay Range
SF Bay Area, Seattle Metro, and New York City Metro Area
Base Pay Range: $146,400.00 – 201,300.00 per year
California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts
Base Pay Range: $131,760.00 – 181,170.00 per year
All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.
Base Pay Range: $117,120.00 – 161,040.00 per year
Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.
Source ⇲
To apply, please visit the following URL:https://jobicy.com/jobs/118128-machine-learning-engineer-ai-platform→
