About Splunk:
nJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we're committed to our work, customers, having fun and most importantly to each other's success. Learn more about Splunk careers and how you can become a part of our journey!
nRole:
nAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.
nResponsibilities:
nThe responsibilities of this role include:
nParticipate in the development of the AI/ML platform and infrastructure that drives our product's key ML use cases in the cybersecurity and observability domains under the guidance of senior team members.
nAssist in collecting, cleaning, and preprocessing data to prepare it for analysis and modeling.
nCollaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services.
nStay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are accurately incorporated into our technology roadmap.
nActively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.
nRequirements:
nBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 2+ years of industry experience.
nExperience with containerization and orchestration tools (e.g., Docker, Kubernetes).
nStrong knowledge of version control systems, especially Git.
nStrong knowledge of CI/CD principles and tools.
nFamiliarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.
nExperience with MLOps platforms such as MLflow or Kubeflow.
nPrevious experience working in cross-functional teams and collaborating with data scientists and DevOps teams.
nExcellent problem-solving skills and the ability to troubleshoot complex issues.
nExcellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences.
nBenefits:
nBenefits are an important part of Splunk's Total Rewards package. This role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, wellbeing expense reimbursement, and much more! Learn more about our comprehensive benefits and wellbeing offering at https://splunkbenefits.com.
n
nSplunk is an Equal Opportunity Employer: At Splunk, we believe creating a culture of belonging isn't just the right thing to do; it's also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.
nNote:
nBase Pay Range
nIndia
nBase Pay: INR 2,400,000.00 - 3,300,000.00 per year
nSplunk 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.
nBenefits are an important part of Splunk's Total Rewards package. This role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, wellbeing expense reimbursement, and much more! Learn more about our comprehensive benefits and wellbeing offering at https://splunkbenefits.com.
