Senior Delivery Consultant- GenAIML AWS
Senior Delivery Consultant- GenAIML AWS
Posted on :
13-04-2025
Employer Active
1 Vacancy
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Job Description
Are you looking to work at the forefront of Machine Learning and AI Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact 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 largescale optimization of fulfillment center operations. At ProServe we help AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data architects data scientists ML engineers working stepbystep with customers to build solutions that harness the power of generative AI.
Key job responsibilities
As an experienced technology professional you will be responsible for:
Designing implementing and building complex scalable and secure GenAI and ML applications and models built on AWS tailored to customer needs
Providing technical guidance and implementation support throughout project delivery with a focus on using AWS AI/ML services
Collaborating with customer stakeholders to gather requirements and propose effective model training building and deployment strategies
Acting as a trusted advisor to customers on industry trends and emerging technologies
Sharing knowledge within the organization through mentoring training and creating reusable artifacts
5 years of cloud based solution (AWS or equivalent) system network and operating system experience
Bachelors degree in computer science engineering mathematics or equivalent
Experience in software development with object oriented language
Demonstrated experience in hosting and deploying GenAI/ML solutions in production (e.g. for training fine tuning and inferences)
AWS Professional level certification
Masters or PhD degree in computer science or related technical math or scientific field
Strong working knowledge of deep learning machine learning and statistics
Experience related to AWS services such as SageMaker Bedrock EMR S3 OpenSearch Service Step Functions Lambda and EC2
Hands on experience with deep learning (e.g. CNN RNN LSTM Transformer) machine learning CV GNN or distributed training
Strong communication skills with attention to detail and ability to convey rigorous mathematical concepts and considerations to nonexperts
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
As an experienced technology professional you will be responsible for:
Designing implementing and building complex scalable and secure GenAI and ML applications and models built on AWS tailored to customer needs
Providing technical guidance and implementation support throughout project delivery with a focus on using AWS AI/ML services
Collaborating with customer stakeholders to gather requirements and propose effective model training building and deployment strategies
Acting as a trusted advisor to customers on industry trends and emerging technologies
Sharing knowledge within the organization through mentoring training and creating reusable artifacts
5 years of cloud based solution (AWS or equivalent) system network and operating system experience
Bachelors degree in computer science engineering mathematics or equivalent
Experience in software development with object oriented language
Demonstrated experience in hosting and deploying GenAI/ML solutions in production (e.g. for training fine tuning and inferences)
AWS Professional level certification
Masters or PhD degree in computer science or related technical math or scientific field
Strong working knowledge of deep learning machine learning and statistics
Experience related to AWS services such as SageMaker Bedrock EMR S3 OpenSearch Service Step Functions Lambda and EC2
Hands on experience with deep learning (e.g. CNN RNN LSTM Transformer) machine learning CV GNN or distributed training
Strong communication skills with attention to detail and ability to convey rigorous mathematical concepts and considerations to nonexperts
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Employment Type
Full-Time
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