Sprinklr is hiring AI / Machine Learning Interns for its Gurgaon (Haryana, India) location. This full-time opportunity is ideal for students or recent graduates passionate about Artificial Intelligence, Machine Learning, and Data Science who want hands-on exposure to real-world, large-scale AI systems.
As an AI-native enterprise platform trusted by 1,900+ global brands and 60% of Fortune 100 companies, Sprinklr offers interns a chance to work on impactful AI/ML problems while learning directly from experienced engineers and data scientists. High-performing interns may also be considered for full-time conversion based on performance.
About Sprinklr
Founded in 2009, Sprinklr is the world’s leading AI-native Unified Customer Experience Management (Unified-CXM) platform. The company helps enterprises unify customer data, eliminate silos, and deliver seamless, personalized experiences across every customer touchpoint.
Sprinklr’s platform powers customer engagement across social media, marketing, advertising, customer feedback, and omnichannel contact centers. With a strong culture built around trust, teamwork, accountability, and customer obsession, Sprinklr continues to redefine how global enterprises connect with their customers.
Role Overview – AI / Machine Learning Intern
As an AI / Machine Learning Intern at Sprinklr, you will support the development of intelligent systems by working on data preprocessing, model building, algorithm optimization, and experimentation. You will collaborate closely with data scientists, engineers, and product teams to bring AI-driven ideas into production-ready solutions.
This role provides end-to-end exposure to the AI/ML lifecycle, from research and data analysis to implementation and documentation.
Job Details
| Particulars | Details |
|---|---|
| Company | Sprinklr |
| Job Role | AI / Machine Learning Intern |
| Location | Gurgaon, Haryana, India |
| Work Type | Full Time |
| Mode | Onsite |
| Industry | AI, SaaS, Enterprise Software |
Key Responsibilities
Assist in building, training, and evaluating machine learning models
Clean, preprocess, and analyze structured and unstructured datasets
Conduct literature reviews to support algorithm and model development
Implement and optimize AI/ML algorithms using Python and ML libraries
Collaborate with data scientists, engineers, and product teams
Document experiments, workflows, methodologies, and results clearly
Support continuous improvement of models and data pipelines
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Required Skills & Qualifications
| Category | Details |
|---|---|
| Education | Bachelor’s or Master’s (Pursuing or Completed) |
| Eligible Streams | Computer Science, Data Science, AI/ML, Related Fields |
| Programming | Python |
| ML Libraries | NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch |
| Core Knowledge | Machine Learning fundamentals, model evaluation |
| Soft Skills | Problem-solving, communication, collaboration |
Preferred Skills
Hands-on experience with AI/ML academic or personal projects
Knowledge of NLP, Computer Vision, or Deep Learning
Exposure to cloud platforms such as AWS, GCP, or Azure
Understanding of data pipelines and deployment workflows
Who Can Apply
Students currently pursuing a Bachelor’s or Master’s degree
Recent graduates in CS, Data Science, or AI-related fields
Candidates with strong interest in applied AI and machine learning
Applicants comfortable working in a fast-paced, collaborative environment
Expected Salary / Stipend
For the Sprinklr AI / Machine Learning Internship, the expected stipend typically ranges between ₹30,000 to ₹50,000 per month, depending on skills, academic background, and project complexity. Exceptional interns may receive full-time job offers upon successful completion of the internship.
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What You’ll Gain
Hands-on experience with real-world AI/ML systems
Mentorship from experienced data scientists and engineers
Opportunity to work on enterprise-scale, AI-driven products
Strong foundation in applied machine learning and data workflows
Potential conversion to a full-time role at Sprinklr
Why Join Sprinklr
Work at an AI-native company trusted by global enterprises
Solve complex, high-impact customer experience problems
Learn in a culture focused on innovation, ownership, and growth
Build a strong career foundation in AI, ML, and enterprise software
How to Apply
Prepare a resume highlighting your AI/ML projects, Python skills, coursework, and hands-on experience with machine learning libraries. Emphasize your interest in applied AI and real-world problem-solving. Apply by clicking the Apply button below and ensure your academic details and skillset are clearly mentioned.
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