Delivery Consultant- Genai/ml & Data Science, Aws Industries

Amazon Amazon · Big Tech · San Francisco, CA · Machine Learning Science

This role focuses on designing, implementing, and managing GenAI and ML applications and models on AWS for customers, acting as a trusted advisor and providing technical guidance throughout the project lifecycle. It involves understanding customer needs, proposing solutions, and ensuring successful deployment and optimization of AI/ML services.

What you'd actually do

  1. Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
  2. Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
  3. Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
  4. Acting as a trusted advisor to customers on industry trends and emerging technologies
  5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Skills

Required

  • 7+ years of technical specialist, design and architecture experience
  • 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
  • 7+ years of consulting, design and implementation of serverless distributed solutions experience
  • 5+ years of software development with object oriented language experience
  • 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
  • 7+ years of external or internal customer facing, complex and large scale project management experience
  • 5+ years of cloud architecture and solution implementation experience
  • Bachelor's degree, or 7+ years of professional or military experience

Nice to have

  • degree in advanced technology, or AWS Professional level certification
  • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
  • Knowledge of security and compliance standards including HIPAA and GDPR
  • Experience in performance optimization and cost management for cloud environments
  • Experience communicating technical concepts to diverse audiences in pre-sales environments

What the JD emphasized

  • GenAI and ML applications and models
  • AWS AI/ML services
  • model training, building, and deployment strategies

Other signals

  • design, implement, and manage AWS solutions
  • designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS
  • 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