AWS Machine Learning Consultant

HIGH BRIDGE CONSULTING LLC; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

HIGH BRIDGE CONSULTING LLC is seeking an AWS Machine Learning Consultant to design, build, and deploy AI/ML solutions for clients. This hands-on, customer-facing role requires strong Python, ML, AWS, and software engineering experience.

You will design and implement end-to-end ML solutions on AWS, work directly with customers to translate business problems into practical AI/ML solutions, and deploy ML models using AWS services.

Qualifications

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

Responsibilities

• Design and implement end-to-end ML solutions on AWS from data prep to deployment and monitoring.
• Collaborate with customers to translate business problems into 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 operationalize ML data and models.
• Implement model monitoring, retraining, and performance improvements.
• Develop technical documentation, reference architectures, and reusable solutions.
• Communicate technical solutions clearly to technical and business stakeholders.

Skills

Python

ML concepts

Problem solving

Customer-facing

AWS experience

Education

MS/PhD preferred in CS/ML/DS

Tools

AWS SageMaker

S3

Lambda

Glue

EMR

IAM

VPC

Step Functions

TensorFlow

PyTorch

Keras

Spark/PySpark

Hadoop

Jupyter

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

This is a remote position.