Job Description
AIML Data Operations - Site Project Representative (SPR)
Hyderabad, Telangana, India
Machine Learning and AI
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Summary
Posted:
Feb 27, 2026
Role Number:
200648882-1052
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The people here at Apple don’t just craft products - they build the kind of wonder thatʼs revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
AIML Data Operations is a fast paced, dynamic environment. Our team directly contributes to the development of AIML Algorithms across most of Appleʼs products and services. We are seeking an experienced Site Project Representative (SPR) to join the AIML Business Operations group. In this role, you will drive critical program projects that provide data at scale for engineering teams to build robust AIML features for millions of customers worldwide. You will develop various project elements, create and manage project plans, recruit participants internally and partner with various operations stakeholders.
Description
As part of the AIML Data Operations Team, you play a central role in enhancing the user experience and team collaboration. As an SPR supporting the AIML Data Operations organization you will engage with Account and Crowd Managers to define and align on project deliverables.
Manage resource plan for analyst headcount, partnering with Account, Crowd Managers, Team Leads and Capacity Planning to align targets and goals across portfolio. Draft and implement policies related to performance and project management of all projects delivered from your site. Effectively communicate project status/metrics and insights to management.
Partner with Account and Crowd Managers to ensure data accuracy and timeliness of data. Manage support for project approvals, prioritization and flag outliers for leadership.
Coordinate site project rollout and execution (platform changes, HC, training, metrics). Bring in consistency in project delivery via standardized templates and project management best practices
Provide Tech support to analysts as needed. Work with tool owners to to update/fix tools as projects come in. Successful candidates are highly organized, highly analytical, independent, able to make decisions based on data driven insights, and ready to dig into the details and get the job done despite practical or technical hurdles.
Minimum Qualifications
2-3 years of project support experience, preferably in mid-to-large scale operations
Highly analytical, quantitative, and data driven decision making skills
Strong interpersonal and presentation skills, relationship management skills
High degree of resourcefulness, flexibility, creative decision-making, and problem-solving abilities
Experience in juggling with multiple concurrent projects
Bachelors degree or equivalent work experience
Preferred Qualifications
1-2 years project management experience
Experience in operational projects in multiple international locations
Experience/knowledge of data operation processes, quality is a plus
💡 Editor's Career Guide for this Role
🎯 Why This Role Matters
This role focuses on extracting insights from complex datasets, designing robust data models, and supporting business decisions. It builds an excellent foundation for moving into data science, data engineering, or machine learning engineering.
⚡ Key Skills Needed
To stand out for this position, hiring managers for this AIML Data Operations role are looking for:
- ✓ Strong foundational knowledge in core engineering principles.
- ✓ Ability to adapt quickly to the fast-paced environment at Apple.
- ✓ Proficiency in Project management, Data operation processes, Quantitative and data driven decision making.
💡 Application Tips
- •Tailor your resume: Highlight specific projects or experiences that align directly with current initiatives at Apple.
- •Prepare for behavioral rounds: Be ready to discuss times you have handled failure, tight deadlines, or team conflicts.
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