AIML - Platform Solutions Architect - MLPT
Seattle, Washington
Summary
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
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.
Created: 2024-09-15
Reference: 200551194
Country: United States
State: Washington
City: Seattle
ZIP: 98109
About Apple
Founded in: 1976
Number of Employees: 154000
Website: https://www.apple.com/
Career site: https://www.apple.com/careers/us/
Wikipedia: https://en.wikipedia.org/wiki/Apple_Inc.
Instagram: https://www.instagram.com/apple/
LinkedIn: https://www.linkedin.com/company/apple
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