Principal Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries Join to apply for the Principal Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries role at Amazon Web Services (AWS)

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you\'ll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You\'ll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You\'ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, you will provide guidance on industry trends, emerging technologies, and innovative solutions, and you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud.

Responsibilities

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

Qualifications Basic Qualifications

12+ years of cloud based solution (AWS or equivalent), system, network and operating system experience

8+ years of hosting and deploying GenAI/ML solutions or/and Data Science Experience

12+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

Preferred Qualifications

PhD or Masters of Science in Computer Science, or related field (or equivalent experience)

Knowledge of AWS platform and tools (e.g., SageMaker, Bedrock, EMR, S3, OpenSearch, Step Functions, Lambda, EC2)

AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred

Hands on experience with deep learning (CNN, RNN, LSTM, Transformer), ML, CV, GNN, or distributed training

Experience with Data Analytics, Data Engineering, Coding, Automation and Scripting (e.g., Terraform, Python)

Strong communication skills to explain technical concepts to both technical and non-technical audiences

About The Team About AWS: AWS values diverse experiences. If you do not meet all of the preferred qualifications, we encourage you to apply. AWS emphasizes an inclusive team culture, mentorship, and career growth opportunities.

EEO and Benefits Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $164,500/year in our lowest geographic market up to $284,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position may include a full range of medical, financial, and other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.

This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company - Amazon Web Services, Inc. | Job ID: A3054954

#J-18808-Ljbffr