Delivery Consultant - AI​/ML, AWS Professional Services

Job Overview

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use?

Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades – pioneering and shaping the world’s AI technology?

The Amazon Web Services Professional Services (Pro Serve) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI 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 ML project lifecycle.

This is a customer‑facing role with potential travel to customer sites as needed.

• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.
• 3+ years of cloud architecture and solution implementation experience.
• 3+ years of data, software, or ML engineering, with an understanding of distributed computing (e.g., data pipelines, training and inference, ML infrastructure design).
• 3+ years developing predictive modeling, natural language processing, and deep learning, with experience in building and deploying ML models on cloud (e.g., Amazon Sage Maker or similar).
• 3+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, Type Script).

• Experience communicating technical concepts to a non‑technical audience.
• Knowledge of security and compliance standards including HIPAA and GDPR.
• Knowledge of one or more ML Frameworks (e.g., PyTorch, Tensor Flow) and ML methods including NLP models (BERT, GPT‑2/3), computer vision models (object detection, image recognition), and text‑based models (Seq2
  
  Seq, Topic modeling).
• AWS experience preferred, with proficiency in a range of AWS services (e.g., Sage Maker, Bedrock, EC2, ECS, EKS, Open Search, Step Functions, VPC, Cloud Formation).
• Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., Cloud Formation, CDK), and Containers & CI/CD Pipelines.
• Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining.
• Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, Lang Chain, Prompt Engineering).

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

Los Angeles County applicants:
Job duties for this position include: work safely and…