Senior Machine Learning Engineer (MLE), Artificial Intelligence
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Job Description
About Company and Job Description
Lensa is advertising a Senior Machine Learning Engineer (MLE), Artificial Intelligence position at Cisco (Splunk). Splunk’s AI group is seeking a passionate individual to contribute to their disruptive vision of making machine data accessible, usable, and valuable.
Role:
As a Senior Machine Learning Engineer within the Artificial Intelligence group, you will develop core AI/ML capabilities to power the entire Splunk product portfolio. You will help customers on their journey to digital resiliency. This involves collaborating with cross-functional teams, mentoring junior team members, and contributing to the engineering roadmap.
Responsibilities:
• Development of the AI/ML platform and infrastructure for key ML use cases in cybersecurity and observability.
• Collaboration with software engineers, applied scientists, and product managers to integrate generative AI solutions into products and services.
• Staying up-to-date with AI/ML advancements and incorporating them into the technology roadmap.
• Active participation 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 related field with 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.
Additional Information:
• Splunk is an Equal Opportunity Employer.
• Base pay range varies based on location. See the original job posting for specific ranges.
• Splunk offers flexible working arrangements (remote and/or in-office).
• In addition to base pay, the role is eligible for incentive compensation and potentially equity or long-term cash awards.
• Splunk provides a competitive benefits package, including medical, dental, vision, a 401(k) plan and match, and paid time off.
