Data Scientist, GenAI Innovation Center at Amazon
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Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.'
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
Weβre looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
λ¨Έμ λ¬λκ³Ό AIμ μ΅μ μ μμ μΌνκ³ μΆμΌμ κ°μ?
μ΅μ²¨λ¨ μ λλ μ΄ν°λΈ AI μκ³ λ¦¬μ¦μ μ μ©νμ¬ μ€μ λ¬Έμ λ₯Ό ν° μν₯μ λ―ΈμΉλ©° ν΄κ²°νκ² λμ΄ κΈ°λλμλμ?AWSμ μ λλ μ΄ν°λΈ AI νμ μΌν°λ AWS κ³ κ°μ΄ μ λλ μ΄ν°λΈ AI μ루μ μ ꡬννκ³ νμ μ μΈ λΉμ¦λμ€ κΈ°νλ₯Ό μ€νν μ μλλ‘ μ§μνλ μλ‘μ΄ μ λ΅ νμ λλ€.μ λ΅κ°, λ°μ΄ν° μ¬μ΄μΈν°μ€νΈ, μμ§λμ΄ λ° μ루μ μν€ν νΈλ‘ ꡬμ±λ νμ΄ κ³ κ°κ³Ό λ¨κ³λ³λ‘ νλ ₯νμ¬ μ λλ μ΄ν°λΈ AIμ νμ νμ©νλ λ§μΆ€ν μ루μ μ ꡬμΆν©λλ€.
μ΄ νμ κ³ κ° λΉμ¦λμ€μ μ΅κ³ μ κ°μΉλ₯Ό μ°½μΆν μ¬λ‘λ₯Ό ꡬμ λ° λ²μλ₯Ό μ§μ νκ³ , μ ν©ν λͺ¨λΈμ μ ν λ° κ΅μ‘ λ° μ‘°μ νκ³ , κΈ°μ λλ λΉμ¦λμ€ κ³Όμ λ₯Ό νμνκΈ° μν κ²½λ‘λ₯Ό μ μνκ³ , PoCμ κ°λ°νκ³ , λκ·λͺ¨ μ루μ μΆμλ₯Ό μν κ³νμ μΈμΈ μ μλλ‘ μ§μν©λλ€.GenAI Innovation Center νμ μ λλ μ΄ν°λΈ AIλ₯Ό μ± μκ° μκ³ λΉμ© ν¨μ¨μ μΌλ‘ μ μ©νλ λͺ¨λ² μ¬λ‘μ λν μ§μΉ¨μ μ 곡ν©λλ€.
κ³ κ°κ³Ό μ§μ νλ ₯νκ³ λΉ λ₯΄κ² λ³ννλ μ‘°μ§μμ νμ μ μ΄λ£¨μ΄ νλλ₯Ό λ°κΎΈλ νλ‘μ νΈ λ° κΈ°μ μ κΈ°μ¬νκ² λ κ²μ λλ€.μ€νμ μ€κ³ λ° μ€ννκ³ , μλ‘μ΄ μκ³ λ¦¬μ¦μ μ°κ΅¬νκ³ , μν, μμ΅μ± λ° κ³ κ° κ²½νμ μ΅μ ννλ μλ‘μ΄ λ°©λ²μ μ°Ύκ² λ©λλ€.
GenAI λ° κΈ°ν κΈ°μ μ μ¬μ©νμ¬ μ΄μ μ ν΄κ²°λμ§ μμ λ¬Έμ μ λν μ΅μ²¨λ¨ μ루μ μ μ€κ³, ν보 λ° κ΅¬νν μ μλ λ°μ΄ν° κ³Όνμλ₯Ό μ°Ύκ³ μμ΅λλ€.
Key job responsibilities
As a Data Scientist, you will:
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges
Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
Provide customer and market feedback to Product and Engineering teams to help define product direction
λ°μ΄ν° μ¬μ΄μΈν°μ€νΈλ λ€μκ³Ό κ°μ μΌμ νκ² λ©λλ€.
AI/ML κ³Όνμ λ° μ€κ³μμ νμ νμ¬ μ€μ λ¬Έμ λ₯Ό ν΄κ²°νκΈ° μν μ΅μ²¨λ¨ μ λλ μ΄ν°λΈ AI μκ³ λ¦¬μ¦μ μ°κ΅¬, μ€κ³, κ°λ° λ° νκ°ν©λλ€.
κ³ κ°κ³Ό μ§μ μνΈ μμ©νμ¬ λΉμ¦λμ€ λ¬Έμ λ₯Ό μ΄ν΄νκ³ , μ λλ μ΄ν°λΈ AI μ루μ μ ꡬννλλ‘ μ§μ λ° μ§μνκ³ , κ³ κ°μκ² λΈλ¦¬ν λ° μ¬μΈ΅ λΆμ μΈμ μ μ 곡νκ³ , λμ ν¨ν΄ λ° μμ° κ²½λ‘λ₯Ό μλ΄ν©λλ€.
κΈ°μ , λΉμ¦λμ€ λ° κ²½μμ§ μ΄ν΄ κ΄κ³μμκ² μ ν©ν λͺ¨λ² μ¬λ‘ κΆμ₯ μ¬ν, νν 리μΌ, λΈλ‘κ·Έ κ²μλ¬Ό, μν μ½λ λ° νλ μ ν μ΄μ μ λ§λ€μ΄ μ 곡ν©λλ€.
μ ν λ° μμ§λμ΄λ§ νμ κ³ κ° λ° μμ₯ νΌλλ°±μ μ 곡νμ¬ μ ν λ°©ν₯μ μ μνλ λ° λμμ μ€λλ€.
About the team
Sales, Marketing and Global Services (SMGS)
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Professional Services team is part of Global Services.
AWS μμ , λ§μΌν λ° κΈλ‘λ² μλΉμ€ (SMGS) λ ν¬κ³ λΉ λ₯΄κ² μ±μ₯νλ, 곡곡 λΆλ¬Έμμ μν°νλΌμ΄μ¦μ μ΄λ₯΄κΈ°κΉμ§ κ³ κ°μ μ±μ₯μ λλ μν μ ν©λλ€. AWS κΈλ‘λ² μ§μ νμ κΈλ‘λ² κΈ°μ κ³Ό κ΅λ₯νλ©° κ³ κ°μ μ±κ³΅μ λμ΅λλ€. λν AWS Supportλ AWS μλΉμ€λ₯Ό κΈ°λ°μΌλ‘ λ―Έμ ν¬λ¦¬ν°μ»¬ μ ν리μΌμ΄μ μ ꡬμΆνλ μ μΈκ³ κ³ κ° λͺ©λ‘κ³Όλ ννΈλ κ΄κ³λ₯Ό λ§Ίκ³ μμ΅λλ€. νλ‘νμ λ μλΉμ€νμ AWS λ΄ κΈλ‘λ² μλΉμ€νμ μμλμ΄ μμ΅λλ€.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnβt followed a traditional path, or includes alternative experiences, donβt let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the worldβs most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating β thatβs why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, itβs in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Weβre continuously raising our performance bar as we strive to become Earthβs Best Employer. Thatβs why youβll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, thereβs nothing we canβt achieve in the cloud.
λ€μμ±
AWSλ λ€μν κ²½νμ μ€μνκ² μκ°ν©λλ€. JDμ λμ μλ μ격 λ° κΈ°μ μ λͺ¨λ μΆ©μ‘±νμ§ λͺ»νλλΌλ μ§μμκ° μ§μνλλ‘ κΆμ₯ν©λλ€. κ²½λ ₯μ μ΄μ λ§ μμνμκ±°λ, μ ν΅μ μΈ κ²½λ ₯μ μμ§ μμκ±°λ, μ‘°κΈ λ€λ₯Έ κ²½νμ μμλ€κ³ , μ§μμ μ€λ¨νμ€ νμλ μμ΅λλ€.
AWSλ₯Ό μ νν΄μΌ νλ μ΄μ
μλ§μ‘΄ μΉ μλΉμ€ (AWS) λ μΈκ³μμ κ°μ₯ ν¬κ΄μ μ΄κ³ λ리 μ±νλ ν΄λΌμ°λ νλ«νΌμ λλ€.μ°λ¦¬λ ν΄λΌμ°λ μ»΄ν¨ν μμ₯μ κ°μ²νμΌλ©° νμ μ λ©μΆμ§ μμμ΅λλ€. μ΄κ²μ΄ λ°λ‘ κ°μ₯ μ±κ³΅μ μΈ μ€ννΈμ λΆν° Global 500 κΈ°μ μ μ΄λ₯΄λ κ³ κ°μ΄ AWSμ μ ν λ° μλΉμ€ μ νκ΅°μ μ λ’°νλ μ΄μ μ λλ€.
μΌκ³Ό μΆμ κ· ν
μ°λ¦¬λ μΌκ³Ό μΆμ μ‘°νλ₯Ό μ€μνκ² μκ°ν©λλ€.μ§μ₯μμμ μ±κ³΅μ μν΄ κ°μ μμμ ν¬μμ κ°μν΄μλ μ λ©λλ€. κ·Έλ κΈ° λλ¬Έμ μ μ°ν 근무 μκ°κ³Ό 근무 λ°©μμ΄ μ°λ¦¬ λ¬Ένμ μΌλΆμ λλ€.μ§μ₯κ³Ό κ°μ μμ μ§μ§λ°λλ€κ³ λλ λ ν΄λΌμ°λλ‘λ λ¬μ±ν μ μλ κ²μ΄ μμ΅λλ€.
ν¬μ©μ μΈ ν λ¬Έν
AWSμμλ λ°°μ°κ³ νΈκΈ°μ¬μ κ°λ κ²μ΄ μ°λ¦¬μ λ³Έλ₯μ λλ€.μ§μμ΄ μ£Όλνλ μ΄νΌλν° κ·Έλ£Ήμ μλ‘ λ€λ₯Έ μ μ μλμ€λ½κ² μ¬κΈΈ μ μλ ν¬μ©μ λ¬Ένλ₯Ό μ‘°μ±ν©λλ€.μΈμ’ λ° λ―Όμ‘±μ κ΄ν λν (CORE) λ° AmazeCon (μ±λ³ λ€μμ±) 컨νΌλ°μ€λ₯Ό ν¬ν¨νμ¬ μ§ν μ€μΈ μ΄λ²€νΈμ νμ΅ κ²½νμ μ°λ¦¬κ° μ°λ¦¬μ λ μ°½μ±μ λ°μλ€μΌ μ μλλ‘ μκ°μ μ€λλ€.
λ©ν μ λ° κ²½λ ₯ κ°λ°
μ°λ¦¬λ μΈκ³ μ΅κ³ μ κ³ μ©μ£Όκ° λκΈ° μν΄ λ Έλ ₯νλ©΄μ μ§μμ μΌλ‘ μ±κ³Ό κΈ°μ€μ λμ΄κ³ μμ΅λλ€.κ·Έλ κΈ° λλ¬Έμ λ λ€μ¬λ€λ₯ν μ λ¬Έκ°λ‘ λ°μ νλ λ° λμμ΄ λλ μ§μ 곡μ , λ©ν μ λ° κΈ°ν κ²½λ ₯ κ°λ° 리μμ€λ₯Ό μ°Ύμ μ μμ΅λλ€.
μΌκ³Ό μΆμ κ· ν
μ°λ¦¬λ μΌκ³Ό μΆμ μ‘°νλ₯Ό μ€μνκ² μκ°ν©λλ€.μ§μ₯μμμ μ±κ³΅μ μν΄ κ°μ μμμ ν¬μμ κ°μν΄μλ μ λ μ λ©λλ€. μ΄κ²μ΄ λ°λ‘ μ°λ¦¬κ° 근무 λ¬Ένμ μΌνμΌλ‘ μ μ°μ±μ μΆκ΅¬νκΈ° μν΄ λ Έλ ₯νλ μ΄μ μ λλ€.μ§μ₯κ³Ό κ°μ μμ μ§μ§λ°λλ€κ³ λλ λ ν΄λΌμ°λλ‘λ λ¬μ±ν μ μλ κ²μ΄ μμ΅λλ€.
#aws-korea-proserv-ap
#AWSKOREA
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
Weβre looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
λ¨Έμ λ¬λκ³Ό AIμ μ΅μ μ μμ μΌνκ³ μΆμΌμ κ°μ?
μ΅μ²¨λ¨ μ λλ μ΄ν°λΈ AI μκ³ λ¦¬μ¦μ μ μ©νμ¬ μ€μ λ¬Έμ λ₯Ό ν° μν₯μ λ―ΈμΉλ©° ν΄κ²°νκ² λμ΄ κΈ°λλμλμ?AWSμ μ λλ μ΄ν°λΈ AI νμ μΌν°λ AWS κ³ κ°μ΄ μ λλ μ΄ν°λΈ AI μ루μ μ ꡬννκ³ νμ μ μΈ λΉμ¦λμ€ κΈ°νλ₯Ό μ€νν μ μλλ‘ μ§μνλ μλ‘μ΄ μ λ΅ νμ λλ€.μ λ΅κ°, λ°μ΄ν° μ¬μ΄μΈν°μ€νΈ, μμ§λμ΄ λ° μ루μ μν€ν νΈλ‘ ꡬμ±λ νμ΄ κ³ κ°κ³Ό λ¨κ³λ³λ‘ νλ ₯νμ¬ μ λλ μ΄ν°λΈ AIμ νμ νμ©νλ λ§μΆ€ν μ루μ μ ꡬμΆν©λλ€.
μ΄ νμ κ³ κ° λΉμ¦λμ€μ μ΅κ³ μ κ°μΉλ₯Ό μ°½μΆν μ¬λ‘λ₯Ό ꡬμ λ° λ²μλ₯Ό μ§μ νκ³ , μ ν©ν λͺ¨λΈμ μ ν λ° κ΅μ‘ λ° μ‘°μ νκ³ , κΈ°μ λλ λΉμ¦λμ€ κ³Όμ λ₯Ό νμνκΈ° μν κ²½λ‘λ₯Ό μ μνκ³ , PoCμ κ°λ°νκ³ , λκ·λͺ¨ μ루μ μΆμλ₯Ό μν κ³νμ μΈμΈ μ μλλ‘ μ§μν©λλ€.GenAI Innovation Center νμ μ λλ μ΄ν°λΈ AIλ₯Ό μ± μκ° μκ³ λΉμ© ν¨μ¨μ μΌλ‘ μ μ©νλ λͺ¨λ² μ¬λ‘μ λν μ§μΉ¨μ μ 곡ν©λλ€.
κ³ κ°κ³Ό μ§μ νλ ₯νκ³ λΉ λ₯΄κ² λ³ννλ μ‘°μ§μμ νμ μ μ΄λ£¨μ΄ νλλ₯Ό λ°κΎΈλ νλ‘μ νΈ λ° κΈ°μ μ κΈ°μ¬νκ² λ κ²μ λλ€.μ€νμ μ€κ³ λ° μ€ννκ³ , μλ‘μ΄ μκ³ λ¦¬μ¦μ μ°κ΅¬νκ³ , μν, μμ΅μ± λ° κ³ κ° κ²½νμ μ΅μ ννλ μλ‘μ΄ λ°©λ²μ μ°Ύκ² λ©λλ€.
GenAI λ° κΈ°ν κΈ°μ μ μ¬μ©νμ¬ μ΄μ μ ν΄κ²°λμ§ μμ λ¬Έμ μ λν μ΅μ²¨λ¨ μ루μ μ μ€κ³, ν보 λ° κ΅¬νν μ μλ λ°μ΄ν° κ³Όνμλ₯Ό μ°Ύκ³ μμ΅λλ€.
Key job responsibilities
As a Data Scientist, you will:
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges
Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
Provide customer and market feedback to Product and Engineering teams to help define product direction
λ°μ΄ν° μ¬μ΄μΈν°μ€νΈλ λ€μκ³Ό κ°μ μΌμ νκ² λ©λλ€.
AI/ML κ³Όνμ λ° μ€κ³μμ νμ νμ¬ μ€μ λ¬Έμ λ₯Ό ν΄κ²°νκΈ° μν μ΅μ²¨λ¨ μ λλ μ΄ν°λΈ AI μκ³ λ¦¬μ¦μ μ°κ΅¬, μ€κ³, κ°λ° λ° νκ°ν©λλ€.
κ³ κ°κ³Ό μ§μ μνΈ μμ©νμ¬ λΉμ¦λμ€ λ¬Έμ λ₯Ό μ΄ν΄νκ³ , μ λλ μ΄ν°λΈ AI μ루μ μ ꡬννλλ‘ μ§μ λ° μ§μνκ³ , κ³ κ°μκ² λΈλ¦¬ν λ° μ¬μΈ΅ λΆμ μΈμ μ μ 곡νκ³ , λμ ν¨ν΄ λ° μμ° κ²½λ‘λ₯Ό μλ΄ν©λλ€.
κΈ°μ , λΉμ¦λμ€ λ° κ²½μμ§ μ΄ν΄ κ΄κ³μμκ² μ ν©ν λͺ¨λ² μ¬λ‘ κΆμ₯ μ¬ν, νν 리μΌ, λΈλ‘κ·Έ κ²μλ¬Ό, μν μ½λ λ° νλ μ ν μ΄μ μ λ§λ€μ΄ μ 곡ν©λλ€.
μ ν λ° μμ§λμ΄λ§ νμ κ³ κ° λ° μμ₯ νΌλλ°±μ μ 곡νμ¬ μ ν λ°©ν₯μ μ μνλ λ° λμμ μ€λλ€.
About the team
Sales, Marketing and Global Services (SMGS)
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Professional Services team is part of Global Services.
AWS μμ , λ§μΌν λ° κΈλ‘λ² μλΉμ€ (SMGS) λ ν¬κ³ λΉ λ₯΄κ² μ±μ₯νλ, 곡곡 λΆλ¬Έμμ μν°νλΌμ΄μ¦μ μ΄λ₯΄κΈ°κΉμ§ κ³ κ°μ μ±μ₯μ λλ μν μ ν©λλ€. AWS κΈλ‘λ² μ§μ νμ κΈλ‘λ² κΈ°μ κ³Ό κ΅λ₯νλ©° κ³ κ°μ μ±κ³΅μ λμ΅λλ€. λν AWS Supportλ AWS μλΉμ€λ₯Ό κΈ°λ°μΌλ‘ λ―Έμ ν¬λ¦¬ν°μ»¬ μ ν리μΌμ΄μ μ ꡬμΆνλ μ μΈκ³ κ³ κ° λͺ©λ‘κ³Όλ ννΈλ κ΄κ³λ₯Ό λ§Ίκ³ μμ΅λλ€. νλ‘νμ λ μλΉμ€νμ AWS λ΄ κΈλ‘λ² μλΉμ€νμ μμλμ΄ μμ΅λλ€.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnβt followed a traditional path, or includes alternative experiences, donβt let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the worldβs most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating β thatβs why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, itβs in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Weβre continuously raising our performance bar as we strive to become Earthβs Best Employer. Thatβs why youβll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, thereβs nothing we canβt achieve in the cloud.
λ€μμ±
AWSλ λ€μν κ²½νμ μ€μνκ² μκ°ν©λλ€. JDμ λμ μλ μ격 λ° κΈ°μ μ λͺ¨λ μΆ©μ‘±νμ§ λͺ»νλλΌλ μ§μμκ° μ§μνλλ‘ κΆμ₯ν©λλ€. κ²½λ ₯μ μ΄μ λ§ μμνμκ±°λ, μ ν΅μ μΈ κ²½λ ₯μ μμ§ μμκ±°λ, μ‘°κΈ λ€λ₯Έ κ²½νμ μμλ€κ³ , μ§μμ μ€λ¨νμ€ νμλ μμ΅λλ€.
AWSλ₯Ό μ νν΄μΌ νλ μ΄μ
μλ§μ‘΄ μΉ μλΉμ€ (AWS) λ μΈκ³μμ κ°μ₯ ν¬κ΄μ μ΄κ³ λ리 μ±νλ ν΄λΌμ°λ νλ«νΌμ λλ€.μ°λ¦¬λ ν΄λΌμ°λ μ»΄ν¨ν μμ₯μ κ°μ²νμΌλ©° νμ μ λ©μΆμ§ μμμ΅λλ€. μ΄κ²μ΄ λ°λ‘ κ°μ₯ μ±κ³΅μ μΈ μ€ννΈμ λΆν° Global 500 κΈ°μ μ μ΄λ₯΄λ κ³ κ°μ΄ AWSμ μ ν λ° μλΉμ€ μ νκ΅°μ μ λ’°νλ μ΄μ μ λλ€.
μΌκ³Ό μΆμ κ· ν
μ°λ¦¬λ μΌκ³Ό μΆμ μ‘°νλ₯Ό μ€μνκ² μκ°ν©λλ€.μ§μ₯μμμ μ±κ³΅μ μν΄ κ°μ μμμ ν¬μμ κ°μν΄μλ μ λ©λλ€. κ·Έλ κΈ° λλ¬Έμ μ μ°ν 근무 μκ°κ³Ό 근무 λ°©μμ΄ μ°λ¦¬ λ¬Ένμ μΌλΆμ λλ€.μ§μ₯κ³Ό κ°μ μμ μ§μ§λ°λλ€κ³ λλ λ ν΄λΌμ°λλ‘λ λ¬μ±ν μ μλ κ²μ΄ μμ΅λλ€.
ν¬μ©μ μΈ ν λ¬Έν
AWSμμλ λ°°μ°κ³ νΈκΈ°μ¬μ κ°λ κ²μ΄ μ°λ¦¬μ λ³Έλ₯μ λλ€.μ§μμ΄ μ£Όλνλ μ΄νΌλν° κ·Έλ£Ήμ μλ‘ λ€λ₯Έ μ μ μλμ€λ½κ² μ¬κΈΈ μ μλ ν¬μ©μ λ¬Ένλ₯Ό μ‘°μ±ν©λλ€.μΈμ’ λ° λ―Όμ‘±μ κ΄ν λν (CORE) λ° AmazeCon (μ±λ³ λ€μμ±) 컨νΌλ°μ€λ₯Ό ν¬ν¨νμ¬ μ§ν μ€μΈ μ΄λ²€νΈμ νμ΅ κ²½νμ μ°λ¦¬κ° μ°λ¦¬μ λ μ°½μ±μ λ°μλ€μΌ μ μλλ‘ μκ°μ μ€λλ€.
λ©ν μ λ° κ²½λ ₯ κ°λ°
μ°λ¦¬λ μΈκ³ μ΅κ³ μ κ³ μ©μ£Όκ° λκΈ° μν΄ λ Έλ ₯νλ©΄μ μ§μμ μΌλ‘ μ±κ³Ό κΈ°μ€μ λμ΄κ³ μμ΅λλ€.κ·Έλ κΈ° λλ¬Έμ λ λ€μ¬λ€λ₯ν μ λ¬Έκ°λ‘ λ°μ νλ λ° λμμ΄ λλ μ§μ 곡μ , λ©ν μ λ° κΈ°ν κ²½λ ₯ κ°λ° 리μμ€λ₯Ό μ°Ύμ μ μμ΅λλ€.
μΌκ³Ό μΆμ κ· ν
μ°λ¦¬λ μΌκ³Ό μΆμ μ‘°νλ₯Ό μ€μνκ² μκ°ν©λλ€.μ§μ₯μμμ μ±κ³΅μ μν΄ κ°μ μμμ ν¬μμ κ°μν΄μλ μ λ μ λ©λλ€. μ΄κ²μ΄ λ°λ‘ μ°λ¦¬κ° 근무 λ¬Ένμ μΌνμΌλ‘ μ μ°μ±μ μΆκ΅¬νκΈ° μν΄ λ Έλ ₯νλ μ΄μ μ λλ€.μ§μ₯κ³Ό κ°μ μμ μ§μ§λ°λλ€κ³ λλ λ ν΄λΌμ°λλ‘λ λ¬μ±ν μ μλ κ²μ΄ μμ΅λλ€.
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