- HIGH BRIDGE CONSULTING LLC
- United States,
- Full-Time
- 10 days ago
- $120,000–$160,000 / year
AWS Machine Learning Consultant.
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AWS Machine Learning Consultant: our view in 3 lines...
- The Role:This customer-facing consulting role focuses on delivering AI/ML solutions on AWS for customers.
- The Person:The person will design and implement end-to-end ML solutions, translate customer problems into practical applications, develop data pipelines, monitor and retrain models, and produce technical documentation and reusable architectures.
- Requirements:The ideal candidate has Python, machine learning and AWS experience, including AWS SageMaker or comparable AWS ML services, and experience across the end-to-end ML lifecycle.
About the role
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
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
Advanced degree (MS/PhD preferred) in Computer Science, Machine Learning, Data Science, Statistics, Electrical Engineering, or a related field
This is a remote position.