Collaborate with Product, Services, Engineering and Data Science teams to build and deliver AI products.
Connect with internal and external stakeholders to understand use cases and advise on solutions.
Responsible for end-to-end delivery outcomes through clarity, speed, collaboration, and technical quality
Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices
Build agentic AI solutions using LLMs, AI agents, and Agent Copilot
Translate complex technical concepts to non-technical stakeholders.
Perform and manage tasks daily including but not limited to data annotation, AI quality monitoring, and KPIs monitoring.
Assist in training the team on AI-specific configuration, AI model development, delivery processes, and data analysis.
Knowledge of office tools like Lucid Charts, Confluence, JIRA, MS Office suite to build organized professional-level documentation.
Understand responsibilities and priorities, sense possible pitfalls , and timely discuss them with the team.
Assist or co-own escalations, work on high priority incidents, collaborate and delegate tasks within the team to meet resolutions, and establish effective synergy among stakeholders.
Develop systems and procedures to ensure quality of delivery.
Understand the scope of deliveries and create collaborative delivery plans.
Be accountable for service delivery performance, meeting customer expectations, and aiding in driving future demand.
Assist in people management, including staff recruitment, performance assessment and training.
What Makes You Qualified?
Full-time bachelor's or master's degree in either of the following specializations: Management/Engineering/Communication.
Overall, 4 + years of experience in delivering ML project s , AI quality monitoring, or similar role.
Write and review production-grade code (python) and can guide architectural decisions across backend, data, and ML-adjacent systems
Hands-on experience of building solutions using LLMs, AI agents, and Agent Copilot frameworks
Prior experience and background in service delivery, AI quality monitoring, KPI monitoring, data management, client communication and documentation.
Awareness of ML lifecycle and workflows, from initial client consultation to final deployment.
Good written and verbal communication skills - Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client
Organizational and interpersonal skills to keep project goals clear, have timely connects with internal team/clients, and ensure deliveries are checked and tested in prior.
Ability to collaborate - working with the Manager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team.
Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews.
Ensuring that systems, procedures, and methodologies are in place to support outstanding service delivery.
Developing a deep understanding of the projects to gain insights into the scope of service delivery.
Taking accountability for service delivery performance, meeting customer expectations, and driving future demand.
Analyzing third-party as well as internal processes and creating strategies for service delivery optimization.
We focus on our mission : Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data - helping large organizations
Benefits
Vision insurance
Additional Information
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.
Today, 1,900+ enterprises and 60% of the Fortune 100 rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide.
Job Description
What does sucess looks like
As a Senior ML Services Analyst, you will play a pivotal role in delivering high quality AI solutions while mentoring junior analysts and driving process improvements. You will work closely with Product, Engineering, and Data Science teams to ensure
seamless execution of ML initiatives, maintain service excellence, and contribute to strategic enhancements in Sprinklr's AI offerings.
Sprinklr · India