Sprinklr
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Gurugram · On-site · 5-8 Yrs · 4 days ago
Enterprise Software & Network Solutions · 1001 to 5000 Employees · New York, US
Sprinklr is the world’s most complete enterprise social technology. The Sprinklr Experience Cloud(™) connects 1,000+ enterprise brands and organizations with their customers. It enables companies to personalize customer experiences at every touch point, across the entire enterprise.
Hiring: Engineering
What employees say
+ it was good exposure as a fresher
− there was constant restructuring going on
More reviews on the company profile.
Interview experience · SDE-intern
Got the oppurtunity via on campus FIrst we had oa round : 2 med dsa problem and 1 hard dsa question was shortlisted for interviews along with 60 students R1 : was asked a medium dsa question based on djkstra's algo and
Average difficulty · Gurgaon, Haryana · 572 reports
More interview insightsJob description
Overview
Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale — across every customer touchpoint.By combining human instinct with the speed and efficiency of AI, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions.
Responsibilities
- Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc.
- Work closely with product management and design to define project scope, priorities and timelines.
- Work closely with machine learning leadership team to define and implement the technology and architectural strategy.
- Take partial ownership of project technical roadmap, which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs delivery.
- Deliver and maintain high-quality scalable systems in a timely and cost-effective manner.Recognising potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same.
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Job application FAQ
Last updated 26 October 2026
- How do I apply for Lead ML Engineer at Sprinklr?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Sprinklr may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead ML Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead ML Engineer remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Lead ML Engineer role at Sprinklr?
- This is a lead Lead ML Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.