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AWS Machine Learning Consultant

High Bridge ConsultingUnited States🇺🇸United StatesPosted Oct 26, 2026

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
Posted19 hours ago
Apache SparkAWSETLDeep LearningHadoopJupyterKerasPyTorchPythonTensorFlowMachine LearningIAM

Job description

Our client is looking for an AWS Machine Learning Consultant to design, build, and deploy AI/ML solutions for customers. This is a hands-on, customer-facing role requiring strong Python, machine learning, AWS, and software engineering experience.
Key Responsibilities

  • Design and implement end-to-end machine learning solutions on AWS, from data preparation and model development through deployment and monitoring.
  • Work directly with customers to understand business problems and translate them into practical AI/ML solutions.
  • Build, test, deploy, and maintain ML models using AWS ML services and frameworks.
  • Develop production-quality Python code, data pipelines, and ML applications.
  • Work with data and engineering teams to prepare, process, analyze, and operationalize ML data and models.
  • Implement model monitoring, retraining, and performance improvements where required.
  • Develop technical documentation, reference architectures, and reusable solutions.
  • Communicate technical solutions clearly to both technical and business stakeholders.

Required Qualifications

  • Hands-on experience building and deploying Machine Learning / AI solutions on AWS.
  • Strong Python programming skills.
  • Experience with the end-to-end ML lifecycle: data preparation, model development, validation, deployment, and monitoring.
  • Experience with AWS SageMaker or comparable AWS ML services.
  • Strong understanding of ML/AI concepts and frameworks.
  • Experience working in a customer-facing consulting or technology environment.
  • Strong communication, problem-solving, and collaboration skills.
  • Must be authorized to work in the U.S. without current or future sponsorship.

Preferred Technical Skills

  • AWS: SageMaker, S3, Lambda, Glue, EMR, IAM, VPC, Step Functions
  • ML/AI: TensorFlow, PyTorch, Keras, Spark/PySpark
  • Data: Hadoop, ETL/data pipelines, Jupyter
  • AI/ML Techniques: Deep Learning, Transformers, RNNs, Reinforcement Learning
  • Languages: Python; R is a plus

Education
Advanced degree (MS/PhD preferred) in Computer Science, Machine Learning, Data Science, Statistics, Electrical Engineering, or a related field

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