AI/ML Solutions Machine Learning Engineer - Cloud Computing

Amazon Web Services, Inc. seeks a Delivery Consultant - AI/ML, Data & Machine Learning to help customers design, build, and deploy scalable AI solutions on AWS. In this role, you'll lead discovery sessions, architect secure data and ML pipelines, and implement production-grade models using services such as SageMaker, Lambda, and EMR. You will collaborate with cross-functional AWS teams, translate business needs into technical designs, and mentor customer teams, all within a fast-paced, customer-obsessed, innovative, and learning-focused culture.

Responsibilities

• Consult with customers to understand AI/ML and data requirements and translate them into AWS-based solutions.
• Design and implement scalable, secure data pipelines and ML architectures on AWS.
• Build, train, and deploy machine learning models using services such as Amazon Sage
• Maker and related tools.
• Lead end-to-end delivery of AI/ML projects from discovery and design through implementation and handoff.
• Collaborate with product, architecture, and customer engineering teams to ensure successful adoption of AWS services.
• Implement MLOps practices, including CI/CD, monitoring, and model lifecycle management.
• Ensure solutions follow AWS best practices for security, reliability, and cost optimization.
• Create technical documentation, patterns, and reusable assets for repeatable delivery.
• Mentor customer and internal teams to build AI/ML and data capabilities on AWS.
• Contribute feedback to AWS service teams and share field insights to drive product improvements.

Required Skills

• AWS cloud architecture
• Machine learning model development
• Python programming
• Data engineering (ETL, data pipelines)
• MLOps and CI/CDSQL and No
• SQL databases
• Big data tools (Spark, EMR, Glue)
• API and microservices design
• Security and governance on cloud
• Stakeholder and technical consulting