Start Date
Immediate
Expiry Date
22 Jul, 25
Salary
166600.0
Posted On
22 Apr, 25
Experience
8 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Security, Interpersonal Skills, Data Analytics, Ml, Project Management Skills, Data Engineering, Infrastructure, Machine Learning, Data Architecture, Cloud Computing, Computer Science
Industry
Information Technology/IT
Imagine what you could do here. At Apple, innovative ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish! As part of the Apple Services Engineering, we are a team of accomplished solutions architects who advise, assist and support our customers to recommend solutions based on customer’s requirements. We enable customers to achieve their business goals by partnering with service engineering teams that build best-in-class data analytics, machine learning and AI products. As the Lead GenAI Engineer , you will play a crucial role in driving critical engagements with our customers through the entire cycle of solutions architecture, which involves understanding business problems, capturing requirements, designing a solution, building a GenAI PoC and delivering the solution to production.
DESCRIPTION
In this role, you will have significant responsibilities in broadening the adoption of Apple Data Platform across Apple by engaging with customers from a wide variety of organizations at Apple. You will have the chance to influence the technical direction of Apple Data Platform by bringing customer requirements and latest industry advances through partnership with service engineering teams. This role requires working across multi-functional teams to deliver dynamic solutions that suit the unique and ever-changing requirements of each customer. We are looking for candidates who are comfortable at the intersection of technology and business. You must be broadly competent across many areas of technology (GenAI, LLM Machine Learning, Fine-Tuning, Inference, Analytics Infrastructure, Security, DevOps, Databases, Application Development) and deep in at least two or three of those areas. On the business side, the ability to connect technology with measurable business value is crucial for the success of this role. Successful candidates will also have strong communication skills, with the ability to build relationships and collaborate across the company. You will have a real passion for customer success, technical excellence, and an ability to understand complex systems. If this sounds like you, then we would love to hear from you.
MINIMUM QUALIFICATIONS
PREFERRED QUALIFICATIONS
Please refer the Job description for details