포지션 상세
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.
• 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.
• 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
주요업무
• 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.
자격요건
• 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
