• Work in a collaboration of machine learning engineers and data scientists.
• 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 , 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-e ective manner.
• Recognising potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same.
• Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the teams workflow.

Role: Machine Learning Engineer

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate

About company

Sprinklr is the leading enterprise company for all customer-facing functions. With advanced AI, Sprinklrs unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Sprinklr is an American public enterprise software company founded in 2009 by Ragy Thomas, headquartered in New York City. It offers a unified SaaS platform for Customer Experience Management (CXM)—integrating social media, marketing, customer care, advertising, and AI-driven analytics across 30+ digital channels. Sprinklr is a well-funded, established unified-CXM SaaS leader, delivering AI-powered customer experience solutions at scale. With healthy revenue growth and profitability, a solid global footprint, strong enterprise adoption, and a high employee satisfaction rating, it’s a robust option for businesses focused on optimizing omnichannel customer interactions.