Amazon
Senior Specialist TAM - AI/ML, ES - EMEA-STAM
Amazon, Seattle, Washington, us, 98127
Senior Specialist TAM - AI/ML, ES - EMEA-STAM
Job ID: 2666356 | AWS EMEA SARL (Israel Branch)Are you passionate about Artificial Intelligence (AI) and Machine Learning (ML)? Do you like to solve the most complex and large-scale challenges in the world today? Would you like a career that gives you opportunities to help customers and partners that use cloud computing services to run their solutions faster, safer and at lower cost?
At AWS Enterprise Support we are looking for a Senior Specialist Technical Account Manager (STAM) to provide unique deep-dive technical engagements for our Enterprise customers across the EMEA. You would be one of the founding members of a dynamic team bringing the latest in disruptive, cutting-edge cloud computing technologies to bear on the difficult cost and agility challenges facing many organizations.
You will provide strategic technical guidance to proactively improve performance, reliability, security and cost-effectiveness of customers’ solutions using AWS best practices. This role will focus on AI/ML AWS services such as Amazon SageMaker, Amazon Transcribe, Amazon Rekognition, and Amazon Comprehend.
This position will require the ability to travel 20% or more as needed.BASIC QUALIFICATIONS
- 7+ years of design/implementation/operations/consulting with distributed applications experience- Experience in internal enterprise or external customer-facing environment as a technical lead- Experience with AWS services or other cloud offerings- Experience in the field of AI, Machine Learning, Deep Learning and related technologies.- Experience developing AI models in real-world environments and integrating AI/ML services into large-scale production applications- Experience in software development in languages like Java, Python, Scala.- Experience working with RESTful API and general service oriented architectures.PREFERRED QUALIFICATIONS
- Bachelor's degree- Experience with operational parameters and troubleshooting for three (3) of the following: compute/storage/networking/CDN/databases/DevOps/big data and analytics/security/applications development in a distributed systems environment- Internal enterprise experience working with a wide range of internal stakeholders on AIML implementations or migration with company-wide impact- Experience with predictive analytics, semi and unstructured data- Experience with AWS AIML services- Ability to understand complex cloud AIML environments and bridge the gap between technical and business requirements- Track record of implementing production AIML solutions for enterprise companies or large internet scale start-ups- Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and Torch.- Professional oral and written communication skills, presenting to an audience containing one or more decision maker(s)Posted:
April 26, 2024Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
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Job ID: 2666356 | AWS EMEA SARL (Israel Branch)Are you passionate about Artificial Intelligence (AI) and Machine Learning (ML)? Do you like to solve the most complex and large-scale challenges in the world today? Would you like a career that gives you opportunities to help customers and partners that use cloud computing services to run their solutions faster, safer and at lower cost?
At AWS Enterprise Support we are looking for a Senior Specialist Technical Account Manager (STAM) to provide unique deep-dive technical engagements for our Enterprise customers across the EMEA. You would be one of the founding members of a dynamic team bringing the latest in disruptive, cutting-edge cloud computing technologies to bear on the difficult cost and agility challenges facing many organizations.
You will provide strategic technical guidance to proactively improve performance, reliability, security and cost-effectiveness of customers’ solutions using AWS best practices. This role will focus on AI/ML AWS services such as Amazon SageMaker, Amazon Transcribe, Amazon Rekognition, and Amazon Comprehend.
This position will require the ability to travel 20% or more as needed.BASIC QUALIFICATIONS
- 7+ years of design/implementation/operations/consulting with distributed applications experience- Experience in internal enterprise or external customer-facing environment as a technical lead- Experience with AWS services or other cloud offerings- Experience in the field of AI, Machine Learning, Deep Learning and related technologies.- Experience developing AI models in real-world environments and integrating AI/ML services into large-scale production applications- Experience in software development in languages like Java, Python, Scala.- Experience working with RESTful API and general service oriented architectures.PREFERRED QUALIFICATIONS
- Bachelor's degree- Experience with operational parameters and troubleshooting for three (3) of the following: compute/storage/networking/CDN/databases/DevOps/big data and analytics/security/applications development in a distributed systems environment- Internal enterprise experience working with a wide range of internal stakeholders on AIML implementations or migration with company-wide impact- Experience with predictive analytics, semi and unstructured data- Experience with AWS AIML services- Ability to understand complex cloud AIML environments and bridge the gap between technical and business requirements- Track record of implementing production AIML solutions for enterprise companies or large internet scale start-ups- Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and Torch.- Professional oral and written communication skills, presenting to an audience containing one or more decision maker(s)Posted:
April 26, 2024Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
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