Delivery Consultant, AIML, Professional Services Korea

About the role

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.

What you'll do

• 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.
• This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed.

Requirements

• Knowledge of cloud based architecture, cloud services and experience in customer facing roles
• Bachelor's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• 5+ years of experience in AI/ML, including building, training, and deploying machine learning models in production environments
• 3+ years of experience with deep learning frameworks such as TensorFlow, PyTorch, MXNet, or Keras
• Experience with data processing and analysis tools (e.g., SQL, Spark, Pandas) and cloud-based AI/ML platforms

Preferred qualifications

• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems
• Master's degree in computer science, machine learning, engineering, or related fields, or PhD
• Experience with AWS AI/ML services such as Amazon SageMaker, Amazon Bedrock, or Amazon Machine Learning
• Experience building and deploying Generative AI applications, including LLM-based solutions, RAG architectures, or agentic AI systems
• AWS Machine Learning Specialty Certification or AWS Solutions Architect certification (AWS Machine Learning Specialty)

Benefits

자세한 사항은 홈페이지 참조