Lavori attuali relativi a Generative Ai Specialist, Generative Ai Innovation Center - Lazio - Amazon
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Lazio, Italia Amazon A tempo pienoAmazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence.This role will focus on supporting customers...
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Lazio, Italia Amazon A tempo pienoAmazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence.This role will focus on supporting customers...
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Lazio, Italia Amazon A tempo pienoThe Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities.This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.As a Deep...
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Lazio, Italia Amazon A tempo pienoApplied Science Manager, Generative AI Innovation CenterJob ID: 2644814 | Amazon Web Services Japan GKAmazon launched the Generative AI Innovation Center (GAIIC) in Jun 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization.GAIIC provides opportunities to innovate...
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Lazio, Italia Amazon A tempo pienoData Science Manager, AWS Generative AI Innovation CenterJob ID: 2658175 | Amazon Web Services EMEA Dubai FZ Branch - Q29Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization.The successful...
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Lazio, Italia Amazon A tempo pienoApplied Science Manager, AWS Generative AI Innovation CenterJob ID: 2659459 | AWS EMEA SARL (Italy Branch) - G99Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization.Your team will be working...
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Lazio, Italia Amazon A tempo pienoApplied Scientist, Generative AI Innovation Center Job ID: 2658178 | AWS EMEA SARL (Italy Branch) - G99 Machine learning (ML) has been strategic to Amazon from the early years.We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.The Generative AI team...
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Lazio, Italia Amazon A tempo pienoApplied Science Manager, AWS Generative AI Innovation Center Job ID: 2659459 | AWS EMEA SARL (Italy Branch) - G99 Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization (...
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Lazio, Italia Amazon A tempo pienoMachine learning (ML) has been strategic to Amazon from the early years.We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.The Generative AI team helps AWS customers accelerate the use of Generative AI to solve business and operational challenges...
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Lazio, Italia Aws Emea Sarl (Italy Branch) - G99 A tempo pienoMinimum Qualifications: PhD or MSc in Computer Science (CS), Computer Engineering (CE), or related technical field with several years of industry experience.Several years of scientists or machine learning engineers management experience and knowledge of ML, NLP, Information Retrieval and Analytics.Ability to demonstrate senior stakeholder management skills...
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Generative Ai Specialist, Generative Ai Innovation Center
2 mesi fa
Job ID: 2644932 | Amazon Web Services Japan GK
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 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.
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.
We're 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.
Key job responsibilitiesCollaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problemsEffectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needsWork hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their modelsInteract with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystemAnalyze and extract relevant information from large amounts of historical data to help automate and optimize key processesWork closely with account teams, applied/data scientist teams, and product engineering teams to drive model implementations and new algorithmsAbout the teamAWS 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, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Here at AWS, it's 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.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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, there's nothing we can't achieve in the cloud.
BASIC QUALIFICATIONSBachelor's degree in computer science or equivalent with 3+ years of relevant working experienceExperience with machine learning fundamentals, with working knowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, JAX or MXNet3+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processingPREFERRED QUALIFICATIONSBachelor's degree in computer science or equivalent with 5+ years of relevant working experience, or Master's degree in computer science or equivalent with 3+ years of working experienceExperiences related to machine learning, deep learning, NLP, CV, GNN, or distributed trainingExperiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational ModelsPosted: May 16, 2024 (Updated 7 days ago)
Posted: September 3, 2024 (Updated 7 days ago)
Posted: May 16, 2024 (Updated 19 days ago)
Posted: May 16, 2024 (Updated 19 days ago)
Posted: July 2, 2024 (Updated about 2 months ago)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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