Senior Machine Learning Engineer (MLE), Artificial Intelligence
Are you applying to the internship?
Job Description
About the Company and Job Description
This job posting is for a Senior Machine Learning Engineer (MLE), Artificial Intelligence position at Splunk, a Cisco company. Splunk aims to make machine data accessible, usable, and valuable to everyone. They value their product, customer experience, fun, and each other’s success.
Role Overview:
As a Senior Machine Learning Engineer in the Artificial Intelligence group, you’ll develop core AI/ML capabilities to power Splunk’s product portfolio, helping customers achieve digital resilience. You will collaborate with cross-functional teams, mentor junior team members, and contribute to the engineering roadmap.
Responsibilities:
• Development of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.
• Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services.
• Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.
• Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.
Requirements:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with model deployment and serving into production environments
• Knowledge of version control systems, especially Git.
• Knowledge of CI/CD principles and tools.
• Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.
• Experience with MLOps platforms such as MLflow or Kubeflow.
• Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.
• Excellent problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
