GenAI Specialist, 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.
Weโre looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine-tune state-of-the-art solutions for never-before-solved problems.
๋จธ์ ๋ฌ๋๊ณผ AI์ ์ต์ ์ ์์ ์ผํ๊ณ ์ถ์ผ์ ๊ฐ์?
์ต์ฒจ๋จ ์ ๋๋ ์ดํฐ๋ธ AI ์๊ณ ๋ฆฌ์ฆ์ ์ ์ฉํ์ฌ ์ค์ ๋ฌธ์ ๋ฅผ ํฐ ์ํฅ์ ๋ฏธ์น๋ฉฐ ํด๊ฒฐํ๊ฒ ๋์ด ๊ธฐ๋๋์๋์?AWS์ ์ ๋๋ ์ดํฐ๋ธ AI ํ์ ์ผํฐ๋ AWS ๊ณ ๊ฐ์ด ์ ๋๋ ์ดํฐ๋ธ AI ์๋ฃจ์ ์ ๊ตฌํํ๊ณ ํ์ ์ ์ธ ๋น์ฆ๋์ค ๊ธฐํ๋ฅผ ์คํํ ์ ์๋๋ก ์ง์ํ๋ ์๋ก์ด ์ ๋ต ํ์ ๋๋ค.์ ๋ต๊ฐ, ๋ฐ์ดํฐ ์ฌ์ด์ธํฐ์คํธ, ์์ง๋์ด ๋ฐ ์๋ฃจ์ ์ํคํ ํธ๋ก ๊ตฌ์ฑ๋ ํ์ด ๊ณ ๊ฐ๊ณผ ๋จ๊ณ๋ณ๋ก ํ๋ ฅํ์ฌ ์ ๋๋ ์ดํฐ๋ธ AI์ ํ์ ํ์ฉํ๋ ๋ง์ถคํ ์๋ฃจ์ ์ ๊ตฌ์ถํฉ๋๋ค.
์ด ํ์ ๊ณ ๊ฐ์ด ๋น์ฆ๋์ค์ ์ต๊ณ ์ ๊ฐ์น๋ฅผ ์ฐฝ์ถํ ์ฌ์ฉ ์ฌ๋ก๋ฅผ ๊ตฌ์ ๋ฐ ๋ฒ์๋ฅผ ์ง์ ํ๊ณ , ์ ํฉํ ๋ชจ๋ธ์ ์ ํ ๋ฐ ๊ต์ก ๋ฐ ๋ฏธ์ธ ์กฐ์ ํ๊ณ , ๊ธฐ์ ๋๋ ๋น์ฆ๋์ค ๊ณผ์ ๋ฅผ ํ์ํ๊ธฐ ์ํ ๊ฒฝ๋ก๋ฅผ ์ ์ํ๊ณ , ๊ฐ๋ ์ฆ๋ช ์ ๊ฐ๋ฐํ๋ฉฐ, ๋๊ท๋ชจ ์๋ฃจ์ ์ถ์๋ฅผ ์ํ ๊ณํ์ ์ธ์ธ ์ ์๋๋ก ์ง์ํฉ๋๋ค. GenAI Innovation Center ํ์ ์ ๋๋ ์ดํฐ๋ธ AI๋ฅผ ์ฑ ์๊ฐ ์๊ณ ๋น์ฉ ํจ์จ์ ์ผ๋ก ์ ์ฉํ๋ ๋ชจ๋ฒ ์ฌ๋ก์ ๋ํ ์ง์นจ์ ์ ๊ณตํฉ๋๋ค.
๋ํ, ๊ณ ๊ฐ๊ณผ ์ง์ ํ๋ ฅํ์ฌ ๋น ๋ฅด๊ฒ ๋ณํํ๋ ์กฐ์ง์์ ํ์ ์ ์ด๋ฃจ์ด ํ๋๋ฅผ ๋ฐ๊พธ๋ ํ๋ก์ ํธ ๋ฐ ๊ธฐ์ ์ ๊ธฐ์ฌํ๊ฒ ๋ ๊ฒ์ ๋๋ค.์คํ์ ์ค๊ณ ๋ฐ ์คํํ๊ณ , ์๋ก์ด ์๊ณ ๋ฆฌ์ฆ์ ์ฐ๊ตฌํ๊ณ , ์ํ, ์์ต์ฑ ๋ฐ ๊ณ ๊ฐ ๊ฒฝํ์ ์ต์ ํํ๋ ์๋ก์ด ๋ฐฉ๋ฒ์ ์ฐพ๊ฒ ๋ฉ๋๋ค.
ML, Generative AI ๋ฐ ๊ธฐํ ๊ธฐ์ ์ ์ฌ์ฉํ์ฌ ์ด์ ์ ํด๊ฒฐํ์ง ๋ชปํ ๋ฌธ์ ์ ๋ํ ์ต์ฒจ๋จ ์๋ฃจ์ ์ ์ค๊ณ, ํ๋ณด, ๊ตฌํ ๋ฐ ๋ฏธ์ธ ์กฐ์ ํ ์ ์๋ ์ฐ์ํ ์ํคํ ํธ, ์์คํ ๋ฐ ์ํํธ์จ์ด ์์ง๋์ด๋ฅผ ์ฐพ๊ณ ์์ต๋๋ค.
Key job responsibilities
In this role, you will:
โข Collaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problems
โข Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs
โข Work hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their models
โข Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem
โข Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
โข Work closely with account teams, applied/data scientist teams, and product engineering teams to drive model implementations and new algorithms
โข Mentor and develop junior members on the team
์ด ์ญํ ์ ๋ค์์ ์ ๋ฌด๋ฅผ ์ํํ๊ฒ ๋ฉ๋๋ค.
โข ๋น์ฌ์ ์์ฉ ๋ฐ ๋ฐ์ดํฐ ์ฌ์ด์ธํฐ์คํธ์ ํ๋ ฅํ์ฌ ๋น์ฆ๋์ค ๋ฌธ์ ๋ฅผ ์ํ ๊ฐ๋ ฅํ๊ณ ํ์ฅ ๊ฐ๋ฅํ ์ ๋๋ ์ดํฐ๋ธ AI ์๋ฃจ์ ์ ๊ตฌ์ถํฉ๋๋ค.
โข Amazon Bedrock ๋ฐ Amazon SageMaker์์ ์ฌ์ฉํ ์ ์๋ ๊ธฐ๋ฐ ๋ชจ๋ธ์ ํจ๊ณผ์ ์ผ๋ก ์ฌ์ฉํ์ฌ ๊ณ ๊ฐ์ ์ฑ๋ฅ ์๊ตฌ ์ฌํญ์ ์ถฉ์กฑํฉ๋๋ค.
โข ์ง์ ์์ ํ์ฌ ๊ณ ๊ฐ์ด ๋ฐ์ดํฐ์ ๋ ์ด๋ธ์ ์ง์ ํ๊ณ , ๋ชจ๋ธ์ ๊ตฌ์ถ, ๊ต์ก, ์กฐ์ ๋ฐ ๋ฐฐํฌํ ์ ์๋ ํ์ฅ ๊ฐ๋ฅํ ํด๋ผ์ฐ๋ ํ๊ฒฝ์ ๊ตฌ์ถํฉ๋๋ค.
โข ๊ณ ๊ฐ๊ณผ ์ง์ ์ํธ ์์ฉํ์ฌ ๋น์ฆ๋์ค ๋ฌธ์ ๋ฅผ ์ดํดํ๊ณ ML ์์ฝ์์คํ ์ ๊ตฌํํ๋ ๋ฐ ๋์์ ์ฃผ๊ณ ์ง์ํฉ๋๋ค.
โข ๋๋์ ๊ณผ๊ฑฐ ๋ฐ์ดํฐ์์ ๊ด๋ จ ์ ๋ณด๋ฅผ ๋ถ์ํ๊ณ ์ถ์ถํ์ฌ ์ฃผ์ ํ๋ก์ธ์ค๋ฅผ ์๋ํํ๊ณ ์ต์ ํํ๋ ๋ฐ ๋์์ ์ค๋๋ค.
โข ์ด์นด์ดํธ ํ, ์์ฉ/๋ฐ์ดํฐ ์ฌ์ด์ธํฐ์คํธ ํ, ์ ํ ์์ง๋์ด๋ง ํ๊ณผ ๊ธด๋ฐํ๊ฒ ํ๋ ฅํ์ฌ ๋ชจ๋ธ ๊ตฌํ๊ณผ ์๋ก์ด ์๊ณ ๋ฆฌ์ฆ์ ์ถ์งํฉ๋๋ค.
โข ํ์ ์ฃผ๋์ด ๊ตฌ์ฑ์์ ๋ฉํ ๋งํฉ๋๋ค.
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.
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, hasnโt followed a traditional path, or includes alternative experiences, donโt let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the worldโs most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating โ thatโs 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, itโs 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
Weโre continuously raising our performance bar as we strive to become Earthโs Best Employer. Thatโs why youโll 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, thereโs nothing we canโt achieve in the cloud.
#aws-korea-proserv-ap
#AWSKOREA
We are open to hiring candidates to work out of one of the following locations:
Seoul, KOR
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.
Weโre looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine-tune state-of-the-art solutions for never-before-solved problems.
๋จธ์ ๋ฌ๋๊ณผ AI์ ์ต์ ์ ์์ ์ผํ๊ณ ์ถ์ผ์ ๊ฐ์?
์ต์ฒจ๋จ ์ ๋๋ ์ดํฐ๋ธ AI ์๊ณ ๋ฆฌ์ฆ์ ์ ์ฉํ์ฌ ์ค์ ๋ฌธ์ ๋ฅผ ํฐ ์ํฅ์ ๋ฏธ์น๋ฉฐ ํด๊ฒฐํ๊ฒ ๋์ด ๊ธฐ๋๋์๋์?AWS์ ์ ๋๋ ์ดํฐ๋ธ AI ํ์ ์ผํฐ๋ AWS ๊ณ ๊ฐ์ด ์ ๋๋ ์ดํฐ๋ธ AI ์๋ฃจ์ ์ ๊ตฌํํ๊ณ ํ์ ์ ์ธ ๋น์ฆ๋์ค ๊ธฐํ๋ฅผ ์คํํ ์ ์๋๋ก ์ง์ํ๋ ์๋ก์ด ์ ๋ต ํ์ ๋๋ค.์ ๋ต๊ฐ, ๋ฐ์ดํฐ ์ฌ์ด์ธํฐ์คํธ, ์์ง๋์ด ๋ฐ ์๋ฃจ์ ์ํคํ ํธ๋ก ๊ตฌ์ฑ๋ ํ์ด ๊ณ ๊ฐ๊ณผ ๋จ๊ณ๋ณ๋ก ํ๋ ฅํ์ฌ ์ ๋๋ ์ดํฐ๋ธ AI์ ํ์ ํ์ฉํ๋ ๋ง์ถคํ ์๋ฃจ์ ์ ๊ตฌ์ถํฉ๋๋ค.
์ด ํ์ ๊ณ ๊ฐ์ด ๋น์ฆ๋์ค์ ์ต๊ณ ์ ๊ฐ์น๋ฅผ ์ฐฝ์ถํ ์ฌ์ฉ ์ฌ๋ก๋ฅผ ๊ตฌ์ ๋ฐ ๋ฒ์๋ฅผ ์ง์ ํ๊ณ , ์ ํฉํ ๋ชจ๋ธ์ ์ ํ ๋ฐ ๊ต์ก ๋ฐ ๋ฏธ์ธ ์กฐ์ ํ๊ณ , ๊ธฐ์ ๋๋ ๋น์ฆ๋์ค ๊ณผ์ ๋ฅผ ํ์ํ๊ธฐ ์ํ ๊ฒฝ๋ก๋ฅผ ์ ์ํ๊ณ , ๊ฐ๋ ์ฆ๋ช ์ ๊ฐ๋ฐํ๋ฉฐ, ๋๊ท๋ชจ ์๋ฃจ์ ์ถ์๋ฅผ ์ํ ๊ณํ์ ์ธ์ธ ์ ์๋๋ก ์ง์ํฉ๋๋ค. GenAI Innovation Center ํ์ ์ ๋๋ ์ดํฐ๋ธ AI๋ฅผ ์ฑ ์๊ฐ ์๊ณ ๋น์ฉ ํจ์จ์ ์ผ๋ก ์ ์ฉํ๋ ๋ชจ๋ฒ ์ฌ๋ก์ ๋ํ ์ง์นจ์ ์ ๊ณตํฉ๋๋ค.
๋ํ, ๊ณ ๊ฐ๊ณผ ์ง์ ํ๋ ฅํ์ฌ ๋น ๋ฅด๊ฒ ๋ณํํ๋ ์กฐ์ง์์ ํ์ ์ ์ด๋ฃจ์ด ํ๋๋ฅผ ๋ฐ๊พธ๋ ํ๋ก์ ํธ ๋ฐ ๊ธฐ์ ์ ๊ธฐ์ฌํ๊ฒ ๋ ๊ฒ์ ๋๋ค.์คํ์ ์ค๊ณ ๋ฐ ์คํํ๊ณ , ์๋ก์ด ์๊ณ ๋ฆฌ์ฆ์ ์ฐ๊ตฌํ๊ณ , ์ํ, ์์ต์ฑ ๋ฐ ๊ณ ๊ฐ ๊ฒฝํ์ ์ต์ ํํ๋ ์๋ก์ด ๋ฐฉ๋ฒ์ ์ฐพ๊ฒ ๋ฉ๋๋ค.
ML, Generative AI ๋ฐ ๊ธฐํ ๊ธฐ์ ์ ์ฌ์ฉํ์ฌ ์ด์ ์ ํด๊ฒฐํ์ง ๋ชปํ ๋ฌธ์ ์ ๋ํ ์ต์ฒจ๋จ ์๋ฃจ์ ์ ์ค๊ณ, ํ๋ณด, ๊ตฌํ ๋ฐ ๋ฏธ์ธ ์กฐ์ ํ ์ ์๋ ์ฐ์ํ ์ํคํ ํธ, ์์คํ ๋ฐ ์ํํธ์จ์ด ์์ง๋์ด๋ฅผ ์ฐพ๊ณ ์์ต๋๋ค.
Key job responsibilities
In this role, you will:
โข Collaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problems
โข Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs
โข Work hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their models
โข Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem
โข Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
โข Work closely with account teams, applied/data scientist teams, and product engineering teams to drive model implementations and new algorithms
โข Mentor and develop junior members on the team
์ด ์ญํ ์ ๋ค์์ ์ ๋ฌด๋ฅผ ์ํํ๊ฒ ๋ฉ๋๋ค.
โข ๋น์ฌ์ ์์ฉ ๋ฐ ๋ฐ์ดํฐ ์ฌ์ด์ธํฐ์คํธ์ ํ๋ ฅํ์ฌ ๋น์ฆ๋์ค ๋ฌธ์ ๋ฅผ ์ํ ๊ฐ๋ ฅํ๊ณ ํ์ฅ ๊ฐ๋ฅํ ์ ๋๋ ์ดํฐ๋ธ AI ์๋ฃจ์ ์ ๊ตฌ์ถํฉ๋๋ค.
โข Amazon Bedrock ๋ฐ Amazon SageMaker์์ ์ฌ์ฉํ ์ ์๋ ๊ธฐ๋ฐ ๋ชจ๋ธ์ ํจ๊ณผ์ ์ผ๋ก ์ฌ์ฉํ์ฌ ๊ณ ๊ฐ์ ์ฑ๋ฅ ์๊ตฌ ์ฌํญ์ ์ถฉ์กฑํฉ๋๋ค.
โข ์ง์ ์์ ํ์ฌ ๊ณ ๊ฐ์ด ๋ฐ์ดํฐ์ ๋ ์ด๋ธ์ ์ง์ ํ๊ณ , ๋ชจ๋ธ์ ๊ตฌ์ถ, ๊ต์ก, ์กฐ์ ๋ฐ ๋ฐฐํฌํ ์ ์๋ ํ์ฅ ๊ฐ๋ฅํ ํด๋ผ์ฐ๋ ํ๊ฒฝ์ ๊ตฌ์ถํฉ๋๋ค.
โข ๊ณ ๊ฐ๊ณผ ์ง์ ์ํธ ์์ฉํ์ฌ ๋น์ฆ๋์ค ๋ฌธ์ ๋ฅผ ์ดํดํ๊ณ ML ์์ฝ์์คํ ์ ๊ตฌํํ๋ ๋ฐ ๋์์ ์ฃผ๊ณ ์ง์ํฉ๋๋ค.
โข ๋๋์ ๊ณผ๊ฑฐ ๋ฐ์ดํฐ์์ ๊ด๋ จ ์ ๋ณด๋ฅผ ๋ถ์ํ๊ณ ์ถ์ถํ์ฌ ์ฃผ์ ํ๋ก์ธ์ค๋ฅผ ์๋ํํ๊ณ ์ต์ ํํ๋ ๋ฐ ๋์์ ์ค๋๋ค.
โข ์ด์นด์ดํธ ํ, ์์ฉ/๋ฐ์ดํฐ ์ฌ์ด์ธํฐ์คํธ ํ, ์ ํ ์์ง๋์ด๋ง ํ๊ณผ ๊ธด๋ฐํ๊ฒ ํ๋ ฅํ์ฌ ๋ชจ๋ธ ๊ตฌํ๊ณผ ์๋ก์ด ์๊ณ ๋ฆฌ์ฆ์ ์ถ์งํฉ๋๋ค.
โข ํ์ ์ฃผ๋์ด ๊ตฌ์ฑ์์ ๋ฉํ ๋งํฉ๋๋ค.
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.
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, hasnโt followed a traditional path, or includes alternative experiences, donโt let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the worldโs most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating โ thatโs 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, itโs 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
Weโre continuously raising our performance bar as we strive to become Earthโs Best Employer. Thatโs why youโll 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, thereโs nothing we canโt achieve in the cloud.
#aws-korea-proserv-ap
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We are open to hiring candidates to work out of one of the following locations:
Seoul, KOR