AIML - Platform Solutions Architect - MLPT
at Apple
Seattle, Washington, USA -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 22 Jul, 2024 | USD 243300 Annual | 28 Apr, 2024 | N/A | Tpu,Ownership,Distributed Systems,Software Solutions,Computer Science,Working Experience,Cloud Computing,Kubernetes,Problem Solving,Docker,Analytical Skills | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
Description:
SUMMARY
Posted: Nov 18, 2023
Weekly Hours: 40
Role Number:200521336
We are seeking a motivated and experienced Solution Architect to join our Machine Learning Platform Technology (MLPT) team. You will play a pivotal role in translating Apple’s machine learning engineers’ needs into effective and scalable technical solutions. As a Solution Architect, you will be responsible for bridging the gap between business collaborators and technical teams, ensuring that the technical solutions align with strategic goals and deliver measurable business value!
KEY QUALIFICATIONS
- 5 or more years of working experience as a solution architect or related roles
- Proven experience in designing, implementing, and managing production-quality software solutions
- Deep understanding of cloud computing, distributed systems, and data architectures
- Knowledge of Machine Learning Accelerators like GPU, TPU, and Machine Learning frameworks like PyTorch, Tensorflow.
- Experience with containerization technologies like Docker and Kubernetes
- Hands-on experience with at least one programming language (e.g., Python, Java)
DESCRIPTION
As a solution architect, you will have the following responsibilities: - Work with Apple’s ML Engineers to understand their ML lifecycle. - Work with Machine Learning Platform teams and related service teams to gain a deep hands-on understanding of their current tools and service offerings, roadmaps and target use cases. - Partner with internal teams to improve their model development pipeline and leveraging the right tools to improve their efficiency and effectiveness. Identify opportunities for improvement and recommend enhancements to machine learning service teams. - Stay up-to-date with the latest trends and technologies in the machine learning industry.
EDUCATION & EXPERIENCE
Bachelors degree or Master’s degree (preferred) in Computer Science, Engineering, or equivalent experience in related fields
ADDITIONAL REQUIREMENTS
- Effective Communication: Explains complex technical concepts clearly to both technical and non-technical audiences.
- Problem-Solving and Analysis: Identifies, analyzes, and resolves challenging technical issues with strong analytical skills.
- Adaptability and Initiative: Can adapt to changing environments and takes ownership of tasks with self-motivation.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer Science, Engineering
Proficient
1
Seattle, WA, USA
