Machine Learning Solutions Architect
3 weeks ago
About the Role
We are seeking a seasoned Machine Learning Solutions Architect to join our team. As a key member of our engineering group, you will be responsible for designing and implementing large-scale machine learning models and systems into production.
Key Responsibilities:
- Develop and deploy advanced ML models to solve diverse challenges and opportunities
- Collaborate with scientists to develop novel models to solve real-world problems
- Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience
Requirements:
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications:
- Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field
- Practical experience in solving complex problems in an applied environment
- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2
Compensation and Benefits:
The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
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