AWS Machine Learning Consultant

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

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AWS: SageMaker, S3, Lambda, Glue, EMR, IAM, VPC, Step Functions

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ML/AI: TensorFlow, PyTorch, Keras, Spark/PySpark

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Data: Hadoop, ETL/data pipelines, Jupyter

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AI/ML Techniques: Deep Learning, Transformers, RNNs, Reinforcement Learning

- Python; R is a plus