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Job Description
- B.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field
- 4+ years experience and strong foundation in Software Engineering fundamentals, including data structures, algorithms, object-oriented design, and proficiency in building production-quality applications in Python
- 2+ years expertise in AI Engineering, using modern ML frameworks to design and deploy production-level platforms with end-to-end observability using vector-enabled data stores (e.g. Postgres/Timescale)
- Demonstrated leadership experience with the ability to lead contractors, mentor peers, and manage technical resources effectively
- Proven ability to drive projects independently: defining scope, collaborating with stakeholders, negotiating requirements, and driving projects to completion
- Solid understanding of Machine Learning algorithms, with the ability to select and implement the right model or approach for the problem at hand
- Excellent communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences and influence decision-making
- Thrives in fast-paced, evolving environments—quickly pivots priorities while maintaining data integrity and reliability
- M.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field
- Passion for quality and attention to detail; proactive in researching and assessing emerging technologies (AI/ML models, protocols, and techniques), and integrating them into production
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- Experience designing and operating MLOps workflows in cloud-native environments, including CI/CD for ML systems, model versioning and promotion, scalable batch and online inference, and monitoring of data quality, model performance, and system reliability in production
- Track record of successfully growing the scope of engineering projects from initial proof-of-concept to organization-wide adoption
- 6+ years experience and strong foundation in Software Engineering fundamentals, including data structures, algorithms, object-oriented design, and proficiency in building production-quality applications
- Experience with Python (FastAPI), PyTorch, Hugging Face, and Spark to deploy production-level platforms on Kubernetes with end-to-end observability, MLflow tracking, and vector-enabled data stores (e.g. Postgres/Timescale)
- Experience with computer vision technologies and techniques, especially for segmentation, anomaly detection, and objective grading is a plus
Skills
AlgorithmsPythonData StructuresKubernetesCloudIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Apple Inc., formerly Apple Computer, Inc., is a Silicon Valley–based multinational technology company headquartered in Cupertino, California. It designs, manufactures, and markets premium consumer electronics, software, and online services. Iconic products include the iPhone, iPad, Mac, Apple Watch, and Apple TV, alongside services such as Apple Music, iCloud, Apple Pay, Apple Arcade, Apple TV+, and the App Store. Operating systems now span iOS, iPadOS, macOS, watchOS, and visionOS.
As of August 2025, Apple ranks #3 globally by market capitalization (≈ US $3.4 trillion) and reported FY 2024 revenue of US $391 billion. It remains the second‑largest smartphone maker and fourth‑largest PC vendor worldwide, while expanding into AI‑powered devices, sustainable technology solutions, and mixed‑reality platforms like the Apple Vision Pro.
For professionals exploring Apple India careers, the company offers opportunities across hardware, software, design, retail, and operations, with office hubs in Bengaluru, Hyderabad, Mumbai, and Gurugram. Apple’s interview process in India is known for its rigor, cultural fit focus, and innovation‑driven assessment — attracting engineers, designers, and business talent passionate about shaping future‑ready technology.
Important dates & deadlines?
Application Deadline
01 Apr 26, 02:53 PM IST
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