Perform and manage tasks daily including but not limited to data annotation, AI quality monitoring, and KPIs monitoring.
Develop systems and procedures to ensure quality of delivery.
Write and review production-grade code (python) and can guide architectural decisions across backend, data, and ML-adjacent systems Hands-on
Create a culture of customer obsession, with trust, teamwork, and accountability.
Requirements
Sprinklr is the definitive, AI-native platform for Unified Customer
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.
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.
What You’ll Do Collaborate with Product, Services, Engineering and Data Science teams to build and deliver AI products.
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.
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
What Makes You Qualified? Full-time bachelor's or master's degree in either of the following specializations: Management/Engineering/Communication.
experience in delivering ML project s , AI quality monitoring, or similar role.
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.
Developing a deep understanding of the projects to gain insights into the scope of service delivery.
Today, Sprinklr has a unified, AI-native platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing, and Sprinklr Insights.
Sprinklr is here to do three things: Lead a new category of enterprise software that we call Unified-CXM.
Experience
Overall, 4 + years of
Benefits
Our vision was clear: to unify fragmented teams, tools and data — helping large organizations build deeper, more meaningful connections with the people they serve.
We offer you and your family voluntary healthcare coverage in countries where applicable.
We believe it is important to take time off – it is essential for your mental and physical wellbeing.
We provide Sprinklrites with paid time off to recharge and spend time with loved ones.
Additional details
Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale — across every customer touchpoint.
Connect with internal and external stakeholders to understand use cases and advise on solutions.
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.
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.
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.