Job Description
Work in a collaboration of machine learning engineers and data scientists.
Recognising potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same
Required Skills
Key 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 machine learning leadership team to define and implement the technology and architectural strategy
- Take partial ownership of project technical roadmap
- Deliver and maintain high-quality scalable systems in a timely and cost-effective manner
Job Information
Qualifications & Eligibility
Education Requirements
Graduate: B.Sc (IT/Computer Science), BCA (Computer Applications)
Eligibility Criteria
About Sprinklr
Company 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. Sprinklr’s unified platform provides powerful solutions for every customer-facing team — spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management — enabling enterprises to unify data, break down silos, and act on real-time insights.
Company Details
Hiring Workflow
Know what to expect. Here is the typical process for this position.
Application
Submit your application to be considered for this role.
Virtual Interview
Face-to-face video interview with the hiring team.
Venue: Virtual — To be announced
Selection
Final evaluation and selection of qualified candidates.
Offer Release
Congratulations! Offer letter will be released to selected candidates.
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