Job Title:
Machine Learning Engineer, AI
Company:
Splunk (a Cisco company)
Salary:
$117,120 – $201,300 per year (depending on location and experience)
Location:
Fully Remote, USA
Type:
Full-time
Experience:
Bachelor’s or Master’s degree in Computer Science or related field with at least 3+ years of industry experience
Company Overview:
Splunk is a leader in making machine data accessible and valuable. The company is passionate about empowering customers to drive their digital transformations. As part of Splunk, you’ll work in a collaborative environment focused on innovative AI and machine learning solutions.
Responsibilities:
Develop the AI/ML platform, collaborate with cross-functional teams, mentor junior members, integrate generative AI solutions, stay updated with AI/ML advancements, and participate in strategic discussions.
Required Skills:
AI/ML development, Containerization (Docker, Kubernetes), Model deployment, Version control (Git), CI/CD principles, Cloud platforms (AWS, GCP, Azure), MLOps platforms (MLflow, Kubeflow), Problem-solving skills, Communication skills.
Benefits:
Medical, dental, vision, 401(k) plan with matching, paid time off, competitive benefits package, flexible working arrangements.
How to Apply:
Click on the “Apply Now” button below. You will be redirected to the Splunk application page. Fill out all the required details as prompted, and submit your application to be considered for the position.
Frequently Asked Questions (FAQs):
What is the job title?
The position is for a Machine Learning Engineer in AI.
Who is hiring?
The hiring company is Splunk, a leading technology firm focused on AI and machine learning.
Where is the job located?
This role is fully remote, allowing you to work from anywhere in the USA.
Is it a full-time or part-time role?
This is a Full-time position, ideal for those seeking a stable and rewarding career in machine learning.
What experience is required?
Candidates should have at least 3+ years of industry experience with a Bachelor’s or Master’s degree in a related field.
