Sprinklr is hiring for a fresher entry level Associate Machine Learning role in India

Position:

• Associate Machine Learning

Company:

• Sprinklr

Location:

• India (Gurgaon, Haryana and Bangalore, Karnataka)

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• 111365-JOB

Years of experience:

• 0–2 years

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Company Description 

• Sprinklr is a global enterprise software company focused on delivering unified customer experience management (Unified-CXM).

• The company was founded with the aim of helping businesses provide seamless, personalized customer interactions across modern communication channels.

• Headquartered in New York City, Sprinklr employs over 2,400 people globally.

• It partners with more than 1,000 of the world’s top enterprises, including big names like Microsoft, Procter & Gamble, and Samsung.

• Sprinklr’s platform integrates various tools that cater to marketing, advertising, research, care, and engagement, enabling a truly connected customer experience.

• The company positions itself not only as a tech leader but also as an organization deeply committed to employee wellbeing, inclusivity, and personal growth.

• Initiatives like daily meditation breaks, virtual fitness sessions, and learning opportunities on platforms such as LinkedIn Learning highlight their investment in people.

• Sprinklr also promotes equal opportunity and celebrates diversity, ensuring all employees feel respected, valued, and heard.

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Profile Overview: 

• The Associate Machine Learning role at Sprinklr involves working with various types of data including text, speech, and structured/unstructured information.

• You will be responsible for annotating datasets using in-house tools based on project-specific guidelines.

• This position requires you to ensure high-quality labeling standards are met consistently.

• You will collaborate with global annotators, conduct quality checks, and support training and supervision of annotation resources.

• The role also expects you to understand client requirements and maintain proper documentation of the work done.

• You’ll analyze the data flow for AI model training and testing purposes, making you a part of a broader AI enablement pipeline.

• This job is a good fit for individuals who enjoy attention to detail, have strong pattern recognition skills, and are comfortable working with AI data.

• Ideal candidates will be enthusiastic about building structured insights from raw data and contribute directly to AI model development at scale.

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Qualifications: 

• Candidates must hold a full-time bachelor’s degree in Commerce, Communication, Advertising, PR, or Engineering.

• Those with 0–2 years of experience in data analysis, social media analysis, or client service roles are eligible.

• Freshers with academic or extracurricular projects in data analysis, social media engagement, reporting, or client servicing will also be considered.

• Essential qualities include pattern recognition, data handling skills, and the ability to manage and annotate complex datasets.

• Written and verbal communication skills are important, particularly the ability to produce documentation, process charts, and case studies.

• Strong organizational skills are key, including the ability to maintain records, understand project timelines, and track progress.

• Candidates should be proactive in reaching out for clarifications or follow-ups and managing tasks independently.

• This position welcomes applicants who are keen to grow their capabilities in machine learning and AI model development.

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Additional Info: 

• Sprinklr places a strong focus on employee wellbeing and work-life balance.

• Their work culture promotes personal happiness, a sense of belonging, and alignment with team goals.

• For full-time employees, they offer comprehensive health coverage and financial protection tailored to local standards.

• The company supports a variety of well-being programs such as meditation, fitness, and access to mental wellness platforms.

• Sprinklr embraces inclusivity and strives to build a judgment-free workplace for people from all walks of life.

• They enforce an equal opportunity policy and actively support gender equality, disability rights, and protection for veterans.

• The work environment encourages collaboration, innovation, and mutual respect.

• Employees have access to professional development tools and are empowered to grow in their careers.

• For those passionate about AI, data science, and improving customer experiences at scale, this is an opportunity to contribute to high-impact projects.

• Sprinklr values initiative, creativity, and a positive attitude in its team members.

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Key Responsibilities:

• Interpret project briefs and document them locally for smooth workflow

• Work with a variety of data types including text, audio, and structured content

• Apply annotation guidelines to label datasets with high precision using internal tools

• Conduct regular quality checks to ensure the output meets standards

• Collaborate with international annotation teams to maintain consistency

• Prepare and organize data for machine learning training and evaluation

• Manage, track, and store records of annotated data responsibly

• Communicate clearly with internal stakeholders about status, delays, or clarifications

• Understand the basics of AI systems to contribute meaningfully to model training

• Continuously learn and apply feedback to improve annotation accuracy and productivity

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Skills Required:

• Basic understanding of Machine Learning workflows

• Strong attention to detail and accuracy

• Familiarity with tools for data labeling or annotation (can be taught on the job)

• Pattern recognition ability for working with complex datasets

• Proficient in written English for documentation and communication

• Ability to create flow diagrams, project briefs, or simple charts

• Capable of maintaining structured records for ongoing or completed projects

• Open to feedback and collaborative working styles

• A willingness to learn new platforms or techniques related to data handling

• Exposure to client communication, reporting, or analytics is a plus

Please click here to apply.