Role at a glance
- Salary
- Not Disclosed
- Location
- 센터필드 서관 12층), Seoul, South Korea
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years
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We’ll check it against the original posting.
Qualifications
Required
- 5+ years of building machine learning models or developing algorithms for business application experience
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- Experience with data analytics platforms (Power BI, Python, SQL, Tableau), or experience with cube engine tools (e.g. TM1, Cognos or Essbase), SQL and Data warehouse
Preferred
- Experience using managed ML/AI solutions
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience building complex software systems that have been successfully delivered to customers
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Cloud Technology Certification
About the role
Original posting provided by 아마존(Amazon)
About the role
At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to help our customers develop technical expertise and capacity, while also collaborating with our customers and partners on key engagements. Our consultants will deliver Pilot projects, topical workshops, and lead implementation projects. Professional Services engage in a wide variety of projects for customers, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer.
What you'll do
• Understand the customer's business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances.
• Assist customers by being able to deliver a AI/Ml and GenAI project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
• Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models.
• Use SparkML and Amazon Machine Learning (AML) to help our customers build ML models.
• Use Amazon Bedrock and various GenAI Tools to help customers build GenAI Applications.
• Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.
• Work with our Professional Services DevOps consultants to help our customers operationalize models after they are built.
• Assist customers with identifying model drift and retraining models.
Requirements
• 5+ years of building machine learning models or developing algorithms for business application experience
• Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
• Experience with data analytics platforms (Power BI, Python, SQL, Tableau), or experience with cube engine tools (e.g. TM1, Cognos or Essbase), SQL and Data warehouse
Preferred qualifications
• Experience using managed ML/AI solutions
• Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience building complex software systems that have been successfully delivered to customers
• AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Cloud Technology Certification
Benefits
자세한 사항은 홈페이지 참고
About the company
아마존(Amazon)
독보적인 물류 자동화 인프라와 클라우드 컴퓨팅 기술을 결합하여 고객 중심의 초연결 커머스 생태계를 구축한 글로벌 테크 기업입니다. 이커머스 효율화와 AWS를 통한 IT 인프라 공급에 주력하며, 전 세계 물류와 디지털 서비스의 접근성을 혁신적으로 높이는 데 기여하고 있습니다.